Aug. 2024, 計測自動制御学会, 著述賞　　　　　　　　　　　　　　　

Sep. 2022, 計測自動制御学会, 著述賞　　　　　　　　　　　　　　　

Mar. 2021, 電気通信普及財団, テレコムシステム技術賞　　　　　　　　　　　　　　　

Jan. 2021, 計測自動制御学会 中部支部, 支部賞　　　　　　　　　　　　　　　

Jun. 2020, 日本毒性学会, 学術年会 優秀研究発表賞　　　　　　　　　　　　　　　

Nov. 2018, 計測自動制御学会, システム・情報部門 学術講演会 2018 優秀発表賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2018, 計測自動制御学会, システム・情報部門 学術講演会 2018 優秀論文賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2018, 人工知能学会, 全国大会優秀賞　　　　　　　　　　　　　　　

Dec. 2017, Beyond Next Ventures, BRAVE 2017 Winter 優秀賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2017, 計測自動制御学会, システム・情報部門 学術講演会 2017 最優秀論文賞　　　　　　　　　　　　　　　
藤原 幸一

Sep. 2017, リバネス, バイオテックグランプリ・サントリー賞　　　　　　　　　　　　　　　
藤原 幸一

Sep. 2017, 計測自動制御学会, 論文賞　　　　　　　　　　　　　　　
藤原 幸一

Apr. 2017, 新技術開発財団, 市村学術賞 功績賞　　　　　　　　　　　　　　　
藤原 幸一

Sep. 2016, 計測自動制御学会, 技術賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2015, 計測自動制御学会, システム・情報部門 学術講演会 2015 優秀論文賞　　　　　　　　　　　　　　　
藤原 幸一

Mar. 2015, 計測自動制御学会, 第1回制御部門マルチシンポジウム 部門大会賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2014, 計測自動制御学会, システム・情報部門 学術講演会 2014 奨励賞　　　　　　　　　　　　　　　
藤原 幸一

Nov. 2014, 計測自動制御学会, システム・情報部門 学術講演会 2014 優秀論文賞　　　　　　　　　　　　　　　
藤原 幸一

Oct. 2012, 計測自動制御学会関西支部, 奨励賞　　　　　　　　　　　　　　　
藤原 幸一

Association of exposure below various thresholds of hemodynamic parameters during cardiopulmonary bypass with acute kidney injury
Takumi Sasaki, Toshiyuki Nakanishi, Tatsuya Tsuji, Eisuke Kako, Tetsuya Tamura, Koichi Fujiwara, Miho Murashima, Takayuki Hamano, Kazuya Sobue
The International Journal of Artificial Organs, Oct. 2025
Scientific journal

Root cause identification of fault in hot-rolling process by causal plot
Koichi Fujiwara, Yoshiaki Uchida, Taketsugu Osaka
Digital Chemical Engineering, 17, 100263, 100263, Sep. 2025, [Peer-reviewed], [Invited], [Lead author, Corresponding author]
English, Scientific journal, 49058671

In-hospital evaluation of an app-based seizure detection system in dogs: timely detection of generalized tonic–clonic seizures
Junya Hirashima, Miyoko Saito, Daisuke Hasegawa, Rikako Asada, Masato Kitagawa, Daisuke Ito, Shinichi Kanazono, Koichi Fujiwara
Frontiers in Veterinary Science, 12, Frontiers Media SA, 29 Apr. 2025, [Peer-reviewed]
English, Scientific journal, The seizure detection system (SDS) is a wearable device developed by us to detect generalized tonic–clonic seizures (GTCSs) in dogs with epilepsy. In our previous study, a feasibility test was conducted for the SDS, which demonstrated its ability to correctly identify three GTCSs in one dog. To enhance user accessibility and facilitate real-time monitoring of epileptic seizures in dogs, we integrated the system into a smartphone application. This study aimed to evaluate the performance of the app-based SDS in a clinical setting involving a larger number of dogs. Initially, the app-based SDS was tested on a laboratory dog with no history of seizures, and a drug-induced GTCS was accurately detected. Subsequently, an in-hospital evaluation was conducted. A total of 12 dogs were included, comprising 10 dogs with epilepsy, either hospitalized or temporarily housed at participating veterinary hospitals, and two laboratory dogs with epilepsy. In total, 34 GTCSs occurred in four of the 12 dogs, and the app-based SDS correctly detected 25 of the 34 GTCSs. Including the preliminary test results, the overall sensitivity of the app-based SDS was 74.3% (26 out of 35 GTCSs). Two false positives were observed in both in one dog. The false-positive rate and positive predictive value of the app-based SDS for detection of GTCS were 0.018 events/day and 92.6%, respectively. The median detection latency from the onset of a GTCS was 11 s. This study demonstrates that the app-based SDS is effective for detecting GTCSs in hospitalized dogs in clinical settings.

IoT-Based Atrial Fibrillation Screening System, Development and Prospective Study
Koichi Fujiwara, Tetsuma Kawaji, Shota Saeda, Toshitaka Yamakawa, Masashi Kato, Takanori Aizawa, Takafumi Yokomatsu, Shinji Miki
IEEE Internet of Things Journal, 1, 1, Institute of Electrical and Electronics Engineers (IEEE), Jan. 2025, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Adaptive soft-sensor update by Latest Sample Targeting Frustratingly Easy Domain Adaptation
Kaito Katayama, Kazuki Yamamoto, Koichi Fujiwara
Chemometrics and Intelligent Laboratory Systems, 105246, 105246, Elsevier BV, Oct. 2024, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Blunted tachycardia and cardiac sympathetic denervation in isolated rapid eye movement sleep behavior disorder
Shota Saeda, Yukiyoshi Sumi, Koichi Fujiwara, Hiroshi Kadotani
BMC Neurology, 24, 1, 317, Springer Science and Business Media LLC, 04 Sep. 2024, [Peer-reviewed], [Corresponding author]
English, Scientific journal, 45251782

Polysomnographic features prior to dream enactment behaviors in isolated rapid eye movement sleep behavior disorder.
Shumpei Date, Yukiyoshi Sumi, Koichi Fujiwara, Makoto Imai, Keiko Ogawa, Hiroshi Kadotani
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 166, 74, 86, 31 Jul. 2024, [Peer-reviewed], [Corresponding author], [International Magazine]
English, Scientific journal, OBJECTIVE: This study aimed to identify electroencephalogram correlates of dream enactment behaviors (DEBs) and elucidate their cortical dynamics in patients with isolated/idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD). METHODS: This cross-sectional study included 15 patients with iRBD. Two REM sleep periods in routine polysomnography were compared: the 60 s preceding the DEBs ("pre-representative behavior" [preR]), and the 60 s with the least submental electromyogram activity ("background" [BG]). Six EEG frequency bands and electrooculogram were analyzed; power spectra, coherence and phase-locking values in four 15-s periods were examined to assess trends. These indices were also compared between preR and BG. RESULTS: Compared with BG, significantly higher delta power in the F3 channel and gamma power in the F4 and O2 channels were observed during preR. For functional connectivity, the widespread beta-band connectivity was significantly increased during preR than BG. CONCLUSION: Before notable REM sleep behaviors, uneven distributed higher EEG spectral power in both very low and high frequencies, and increased wide-range beta band functional connectivity, were observed over 60 s, suggesting cortical correlates to subsequent DEBs. SIGNIFICANCE: This study may shed light on the pathological mechanisms underlies RBD through the routine vPSG analysis, leading to detection of DEBs.

Special Issue on Advanced Technologies for Augmenting Canine–Human Communication
Kazunori Ohno, Miho Nagasawa, Takatomi Kubo, Koichi Fujiwara, Toshitaka Yamakawa, Miiamaaria Kujala
Advanced Robotics, 38, 14, 907, 907, Informa UK Limited, 17 Jul. 2024, [Peer-reviewed], [Invited]
English, Scientific journal

Heart rate variability-based Model for estimating the severity of orthostatic hypotension in patients with REM sleep behavior disorder.
Shota Saeda, Koichi Fujiwara, Yukiyoshi Sumi, Hiroshi Kadotani
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2024, 1, 4, Jul. 2024, [International Magazine]
English, Scientific journal, BACKGROUND: Orthostatic hypotension (OH) is a typical autonomic dysfunction in patients with idiopathic REM sleep behavior disorder (iRBD). The Schellong test is a well-known method to evaluate the presence of OH; however, it is burdensome for both patients and the medical staff from the viewpoint of ensuring patient safety. In this study, we developed a machine learning (ML) model to discriminate the presence or absence of OH based on heart rate variability (HRV) in the supine position. METHODS: We recruited elderly healthy participants (HC) and iRBD patients and measured participants' R-R interval (RRI) during the Schellong test. The HRV features were calculated from the RRIs and were used as inputs for the ML model. We trained an ML model that combines two binary classifiers. The first model classifies HC and iRBD, and the second model discriminates the classified patients with iRBD between OH(-) and OH(+). RESULTS: The macro average classification performance was accuracy of 81%, recall of 73%, precision of 82%, and F-measure of 68%. In addition, the sensitivity for OH(+)iRBD was 100%. CONCLUSION: Utilizing this ML model will help to reduce the burden of the Schellong test.

Development and Validation of a Prediction Model for Acute Hypotensive Events in Intensive Care Unit Patients
Nakanishi, T., Tsuji, T., Tamura, T., Fujiwara, K., Sobue, K.
Journal of Clinical Medicine, 13, 10, 09 May 2024, [Peer-reviewed]
English, Scientific journal

Beacon-based sleep-wake monitoring in dogs.
Takefumi Kikusui, Mizuho Yagisawa, Kahori Koyama, Yuma Shishikura, Kana Miyamoto, Koichi Fujiwara, Kazuhiko Kume, Kensaku Nomoto, Miho Nagasawa
The Journal of veterinary medical science, 29 Apr. 2024, [Peer-reviewed], [Domestic magazines]
English, Scientific journal, The sleep-wake cycle represents a crucial physiological process essential for maintaining homeostasis and promoting individual growth. In dogs, alterations in sleep patterns associated with age and dog's correlation with temperament factors, such as nervousness, have been reported, and there is an increasing demand for precise monitoring of sleep and physical activity in dogs. The present study aims to develop an analysis method for measuring sleep-wake patterns and physical activity in dogs by utilizing an accelerometer and a smartphone. By analyzing time series data collected from the accelerometer attached to the dog's collar, a comprehensive sleep and activity analysis model was constructed. This model classified the activity level into seven classes and effectively highlighted the variations in sleep-activity patterns. Two classes with lower activity levels were considered as sleep, while other five levels were regarded as wake based on the rate of occurrence. This protocol of data acquisition and analysis provides a methodology that enables accurate and extended evaluation of both sleep and physical activity in dogs.

Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012–2023
Wei Zhang, Weihan Cheng, Koichi Fujiwara, Richard Evans, Chengyan Zhu
IEEE Journal of Biomedical and Health Informatics, Apr. 2024, [Peer-reviewed]
English, Scientific journal

Frustration control during driving using auditory false heart rate feedback
Koshi Ota, Koichi Fujiwara, Toshihiro Hiraoka
Transportation Research Part F: Traffic Psychology and Behaviour, 101, 375, 386, Elsevier BV, Feb. 2024, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Adaptive Soft-sensor for Sudden Changes in Process Characteristics Based on Transfer Learning
Katayama, K., Yamamoto, K., Fujiwara, K.
Computer Aided Chemical Engineering, 53, 2024
Scientific journal

Association between postinduction hypotension and postoperative mortality: a single-centre retrospective cohort study
Nakanishi, T., Tsuji, T., Sento, Y., Hashimoto, H., Fujiwara, K., Sobue, K.
Canadian Journal of Anesthesia, 71, 3, 2024, [Peer-reviewed]
English, Scientific journal

Heat illness detection with heart rate variability analysis and anomaly detection algorithm
Koichi Fujiwara, Koshi Ota, Shota Saeda, Toshitaka Yamakawa, Takatomi Kubo, Aozora Yamamoto, Yuki Maruno, Manabu Kano
Biomedical Signal Processing and Control, 87, 105520, 105520, Elsevier BV, Jan. 2024, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal, 13226379

Association entre hypotension post-induction et mortalité postopératoire : une étude de cohorte rétrospective monocentrique
Toshiyuki Nakanishi, Tatsuya Tsuji, Yoshiki Sento, Hiroya Hashimoto, Koichi Fujiwara, Kazuya Sobue
Canadian Journal of Anesthesia/Journal canadien d'anesthésie, Springer Science and Business Media LLC, 21 Nov. 2023, [Peer-reviewed]
English, Scientific journal

Prediction Model of Postoperative Pain Exacerbation Using a Wearable Electrocardiogram Sensor
Toshiyuki Nakanishi, Koichi Fujiwara, Kazuya Sobue
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), IEEE, 31 Oct. 2023
International conference proceedings

FexSplice: A LightGBM-Based Model for Predicting the Splicing Effect of a Single Nucleotide Variant Affecting the First Nucleotide G of an Exon
Atefeh Joudaki, Jun-ichi Takeda, Akio Masuda, Rikumo Ode, Koichi Fujiwara, Kinji Ohno
Genes, 14, 9, 1765, 1765, MDPI AG, 06 Sep. 2023, [Peer-reviewed]
Scientific journal, Single nucleotide variants (SNVs) affecting the first nucleotide G of an exon (Fex-SNVs) identified in various diseases are mostly recognized as missense or nonsense variants. Their effect on pre-mRNA splicing has been seldom analyzed, and no curated database is available. We previously reported that Fex-SNVs affect splicing when the length of the polypyrimidine tract is short or degenerate. However, we cannot readily predict the splicing effects of Fex-SNVs. We here scrutinized the available literature and identified 106 splicing-affecting Fex-SNVs based on experimental evidence. We similarly identified 106 neutral Fex-SNVs in the dbSNP database with a global minor allele frequency (MAF) of more than 0.01 and less than 0.50. We extracted 115 features representing the strength of splicing cis-elements and developed machine-learning models with support vector machine, random forest, and gradient boosting to discriminate splicing-affecting and neutral Fex-SNVs. Gradient boosting-based LightGBM outperformed the other two models, and the length and nucleotide compositions of the polypyrimidine tract played critical roles in the discrimination. Recursive feature elimination showed that the LightGBM model using 15 features achieved the best performance with an accuracy of 0.80 ± 0.12 (mean and SD), a Matthews Correlation Coefficient (MCC) of 0.57 ± 0.15, an area under the curve of the receiver operating characteristics curve (AUROC) of 0.86 ± 0.08, and an area under the curve of the precision–recall curve (AUPRC) of 0.87 ± 0.09 using a 10-fold cross-validation. We developed a web service program, named FexSplice that accepts a genomic coordinate either on GRCh37/hg19 or GRCh38/hg38 and returns a predicted probability of aberrant splicing of A, C, and T variants.

医工連携によるRBD病態解明の取り組み 立ち上がる数分前に起立性低血圧を予測できるか?レム睡眠行動障害患者への心拍変動解析の応用例　　　　　　　　　　　　　　　
角 幸頼, 小枝 正汰, 藤原 幸一, 尾関 祐二, 角谷 寛
日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集, 45回・30回, 141, 141, 日本睡眠学会・日本時間生物学会, Sep. 2023
Japanese

医工連携によるRBD病態解明の取り組み 心拍変動に着目したレム睡眠行動障害患者における起立性低血圧の有無を判定する機械学習モデル　　　　　　　　　　　　　　　
藤原 幸一, 小枝 正汰, 角 幸頼, 今井 眞, 角谷 寛
日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集, 45回・30回, 141, 141, 日本睡眠学会・日本時間生物学会, Sep. 2023
Japanese

医工連携によるRBD病態解明の取り組み 立ち上がる数分前に起立性低血圧を予測できるか?レム睡眠行動障害患者への心拍変動解析の応用例　　　　　　　　　　　　　　　
角 幸頼, 小枝 正汰, 藤原 幸一, 尾関 祐二, 角谷 寛
日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集, 45回・30回, 141, 141, 日本睡眠学会・日本時間生物学会, Sep. 2023
Japanese

医工連携によるRBD病態解明の取り組み 心拍変動に着目したレム睡眠行動障害患者における起立性低血圧の有無を判定する機械学習モデル　　　　　　　　　　　　　　　
藤原 幸一, 小枝 正汰, 角 幸頼, 今井 眞, 角谷 寛
日本睡眠学会定期学術集会・日本時間生物学会学術大会合同大会プログラム・抄録集, 45回・30回, 141, 141, 日本睡眠学会・日本時間生物学会, Sep. 2023
Japanese

Heat Illness Detection with Heart Rate Variability Analysis and Anomaly Detection Algorithm
K. Fujiwara, K. Ota, S. Saeda, T. Yamakawa, T. Kubo, A. Yamamoto, Y. Maruno, M. Kano
Biomedical Signal Processing and Control, Sep. 2023, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal, 13226379

Association between post-induction hypotension and postoperative mortality: A single-center retrospective cohort study　　　　　　　　　　　　　　　
T. Nakanishi, T. Tsuji, Y. Sento, H. Hashimoto, K. Fujiwara, K. Sobue
Canadian Journal of Anesthesia, Aug. 2023, [Peer-reviewed]
English, Scientific journal

Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder
Koichi Fujiwara, Hiroki Iwamoto, Kentaro Hori, Manabu Kano
IEEE Transactions on Intelligent Vehicles, 1, 10, Institute of Electrical and Electronics Engineers (IEEE), Aug. 2023, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Learning curve of i-gel insertion in novices using a cumulative sum analysis
Toshiyuki Nakanishi, Seishi Sakamoto, Manabu Yoshimura, Koichi Fujiwara, Takashi Toriumi
Scientific Reports, 13, 1, 7121, Springer Science and Business Media LLC, 02 May 2023, [Peer-reviewed]
English, Scientific journal, Abstract

The i-gel, a popular second-generation supraglottic airway device, has been used in a variety of airway management situations, including as an alternative to tracheal intubation for general anesthesia, rescue in difficult airway settings, and out-of-hospital cardiac arrest resuscitation. We aimed to investigate the number of experiences needed to achieve a rapid, highly successful first attempt i-gel insertion in novices with a cumulative sum analysis. We also looked at how learning affected success rates, insertion time, and bleeding and reflex (limb movement, frowning face, or coughing) incidences. This prospective observational study included 15 novice residents from March 2017 to February 2018 in a tertiary teaching hospital. Finally, 13 residents with 35 [30–42] (median [interquartile range]) cases of i-gel insertion were analyzed. The cumulative sum analysis showed that 11 of 13 participants had an acceptable failure rate after 15 [8–20] cases. With increasing experience, success rate (P = 0.004), insertion time (P < 0.001), and incidence of bleeding (P = 0.006) all improved. However, the incidence of reflex did not change (P = 0.43). Based on our results, we suggest that 20 cases are preferable for novices to develop skills in using the i-gel in airway management.

Development of an epileptic seizure prediction algorithm using R–R intervals with self-attentive autoencoder
Rikumo Ode, Koichi Fujiwara, Miho Miyajima, Toshikata Yamakawa, Manabu Kano, Kazutaka Jin, Nobukazu Nakasato, Yasuko Sawai, Toru Hoshida, Masaki Iwasaki, Yoshiko Murata, Satsuki Watanabe, Yutaka Watanabe, Yoko Suzuki, Motoki Inaji, Naoto Kunii, Satoru Oshino, Hui Ming Khoo, Haruhiko Kishima, Taketoshi Maehara
Artificial Life and Robotics, 28, 403, 409, Springer Science and Business Media LLC, May 2023, [Peer-reviewed], [Invited], [Corresponding author]
English, Scientific journal, Abstract

Epilepsy is a neurological disorder that may affect the autonomic nervous system (ANS) from 15 to 20 min before seizure onset, and disturbances of ANS affect R–R intervals (RRI) on an electrocardiogram (ECG). This study aims to develop a machine learning algorithm for predicting focal epileptic seizures by monitoring R–R interval (RRI) data in real time. The developed algorithm adopts a self-attentive autoencoder (SA-AE), which is a neural network for time-series data. The results of applying the developed seizure prediction algorithm to clinical data demonstrated that it functioned well in most patients; however, false positives (FPs) occurred in specific participants. In a future work, we will investigate the causes of FPs and optimize the developing seizure prediction algorithm to further improve performance using newly added clinical data., 31776990

Causal analysis of nitrogen oxides emissions process in coal-fired power plant with LiNGAM
Tatsuki Saito, Koichi Fujiwara
Frontiers in Analytical Science, 3, Frontiers Media SA, 16 Feb. 2023, [Peer-reviewed], [Invited], [Corresponding author]
English, Scientific journal, Coal has been an important energy source worldwide; however, it is the largest source of nitrogen oxide (NOx) emissions because the amount of nitrogen in coal is larger than that of other fossil fuels. Precise control of NOx emissions is required in operations of coal-fired power plants from the viewpoint of air pollution control. Although theoretical analyses of NOx generation from a coal-fired power plant have been conducted, it is difficult to precisely predict NOx generation in an actual plant. NOx generation is affected by various factors, such as furnace design and operating conditions, and there are complicated relationships among them. Thus, it is necessary to identify important operating factors that affect NOx generation in actual coal-fired power plants. A linear non-Gaussian acyclic model (LiNGAM) is an exploratory causal analysis method that identifies a causal ordering of variables and their connection strengths without any prior knowledge of causal relationships among variables. In this study, we analyzed real operation data collected from a coal-fired power plant using LiNGAM to identify factors of NOx generation. The causal relationship between process variables and NOx generation was estimated by means of LiNGAM, and the connectional strengths of the variables on NOx generation were derived. The analysis results agreed with previous reports on NOx generation mechanisms, such as combustion air temperature, steam temperature on a specific side of the furnace, and air flow rate of forced draft fans. In addition, we found the steam flow rate and the furnace pressure as new candidate factors of NOx generation through causal analysis using LiNGAM, which heretofore has not been suggested. Our analysis result should contribute to reducing NOx emissions from coal-fired power plants in the future.

Editorial: Data science and digital service delivery in healthcare
Fujiwara, K.
Frontiers in Computer Science, 4, 2023
Scientific journal

Development of AI for screening sleep apnea syndrome using heart rate variability analysis and neural network
SUMI Yukiyoshi, FUJIWARA Koichi, IWASAKI Ayako, OZEKI Yuji, KADOTANI Hiroshi
Proceedings of the Annual Conference of JSAI, JSAI2023, 1L4OS18a04, 1L4OS18a04, The Japanese Society for Artificial Intelligence, 2023
Japanese, Sleep apnea syndrome (SAS) is a disorder in which breathing events such as apnea or hypopnea during sleep causes sleepiness and fatigue. SAS is a risk factor for coronary artery disease ( angina and myocardial infarction), atrial fibrillation, stroke, etc. The prevalence of SAS is reported to be 2-7% in adults; however, more patients with less subjective symptoms is estimated to have SAS. SAS is generally diagnosed by polysomnography (PSG) in specialized sleep institutes. However, PSG is performed only in a limited number of centers. Therefore, a screening method for SAS is needed to be developed. We focused on heart rate variability related to respiratory events and developed a screening method for SAS using neural networks. We examined a large PSG data set (N = 938) and attempted to detect SAS using long-term and short-term memory for heart rate data. Severe SAS was detected with an area under the curve (AUC) of 0.92, a sensitivity of 0.80, and a specificity of 0.84. We aim to develop a convenient screening method using a wearable device for the early detection of SAS.

AI model for predicting postoperative pain exacerbation using a wearable electrocardiogram sensor and an intravenous patient-controlled analgesia device
NAKANISHI Toshiyuki, FUJIWARA Koichi, SENTO Yoshiki, SOBUE Kazuya
Proceedings of the Annual Conference of JSAI, JSAI2023, 1L5OS18b02, 1L5OS18b02, The Japanese Society for Artificial Intelligence, 2023
Japanese, There is a need to develop objective and real-time postoperative pain assessment methods in perioperative medicine. Few studies have evaluated the relationship between pain severity and temporal changes of physiological signals in actual postoperative patients. The aim of the study was to evaluate postoperative pain continuously and to predict pain exacerbation in real-time. We focused on intravenous patient-controlled analgesia (IV-PCA), a common analgesic modality utilized in post-surgical patients. We chose an electrocardiogram (ECG) as a feature to detect pain exacerbation. We developed a machine learning model which was trained from IV-PCA records and ECG of postoperative patients to predict pain exacerbation. A self-attentive autoencoder (SA-AE) model achieved 54% of sensitivity and a 1.76 times/h of false positive rate. In summary, we propose a novel pain evaluation method using an IV-PCA device. According to the current findings, ECG features may be used to predict postoperative pain exacerbation in real-time.

Nearest Neighbor Search-Based Modification of RRI Data with Premature Atrial Contraction and Premature Ventricular Contraction
Sifeng Chen, Shota Kato, Koichi Fujiwara, Manabu Kano
2023 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS, SICE ISCS, 53, 57, 2023
English, International conference proceedings

Interactive system for optimal position selection of a patch-type R–R interval telemeter
Noguchi, A., Takano, T., Fujiwara, K., Miyajima, M., Yamakawa, T.
Artificial Life and Robotics, 28, 1, Springer Science and Business Media LLC, 2023, [Peer-reviewed], [Invited]
English, Scientific journal

Auditory Feedback of False Heart Rate for Video Game Experience Improvement
Sayaka Ogawa, Koichi Fujiwara, Manabu Kano
IEEE Transactions on Affective Computing, 14, 1, 487, 497, Institute of Electrical and Electronics Engineers (IEEE), 01 Jan. 2023, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Causal Plot: Causal-Based Fault Diagnosis Method Based on Causal Analysis
Uchida, Y., Fujiwara, K., Saito, T., Osaka, T.
Processes, 10, 11, 2269, 03 Nov. 2022, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Effects of pleasant sound on overnight sleep condition: A crossover randomized study
Saeda, S., Fujiwara, K., Kinoshita, T., Sumi, Y., Matsuo, M., Yamaki, K., Kawashima, T., Kadotani, H.
Frontiers in Sleep, 1, Frontiers Media SA, 18 Oct. 2022, [Peer-reviewed], [Corresponding author]
English, Scientific journal, 12628475

Sleep-EEG-based parameters for discriminating fatigue and sleepiness
Fujiwara, K., Goto, Y., Sumi, Y., Kano, M., Kadotani, H.
Frontiers in Sleep, 1, 975415, 975415, 10 Oct. 2022, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Wearable sensor device-based detection of decreased heart rate variability in Parkinson's disease.
Masashi Suzuki, Tomohiko Nakamura, Masaaki Hirayama, Masamichi Ueda, Mai Hatanaka, Yumiko Harada, Masahiro Nakatochi, Daisuke Nakatsubo, Satoshi Maesawa, Ryuta Saito, Koichi Fujiwara, Masahisa Katsuno
Journal of neural transmission (Vienna, Austria : 1996), 129, 10, 1299, 1306, Oct. 2022, [International Magazine]
English, Scientific journal, The evidence that heart rate variability (HRV) decreases during early Parkinson's disease (PD) largely depends on electrocardiogram data. In this study, we examined HRV in PD using wearable sensors and assessed various evaluation methods for detecting disease-related alterations. We evaluated 27 patients with PD and 23 disease controls. The wearable sensors POLAR V800 HR and POLAR H10 were used for the HRV measurements. The participants wore the two sensors for approximately 24 h, and long-term HRV data were acquired. We analyzed the standard deviation of normal R-R intervals (SDNN) and coefficient of variation of R-R intervals (CVRR) for every 100 consecutive beats. Focusing on the fluctuation of SDNN and CVRR, we extracted the minimum, first decile, first quartile, and median values of SDNN and CVRR. The area under the receiver operating characteristic curve (AUC) for each HRV parameter was calculated to differentiate PD from the disease controls. The minimum values of SDNN and CVRR had the highest AUC (SDNN: AUC 0.90, 95% confidence interval [CI] 0.78-0.96; CVRR: AUC 0.90, CI 0.76-0.96) among the evaluation methods tested. The minimum values of SDNN and CVRR were significantly decreased in PD (SDNN: 9.5 ± 4.0 ms vs. 4.4 ± 2.0 ms, p < 0.0001; CVRR: 1.15 ± 0.33% vs. 0.65 ± 0.24%, p < 0.0001). We detected decreased HRV in PD using wearable sensors. Analyzing the minimum values of the HRV parameter in long-term recordings appears to be appropriate for detecting the decrease in HRV in PD.

麻酔・集中治療領域における医学と工学の異分野融合研究の経験　　　　　　　　　　　　　　　
中西 俊之, 祖父江 和哉, 藤原 幸一
麻酔科学サマーセミナー, 18回, 44, 44, 麻酔科学サマーセミナー事務局, Jul. 2022
Japanese

R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset
Ayako Iwasaki, Koichi Fujiwara, Chikao Nakayama, Yukiyoshi Sumi, Manabu Kano, Tetsuharu Nagamoto, Hiroshi Kadotani
Clinical Neurophysiology, 139, 80, 89, Elsevier BV, Apr. 2022, [Corresponding author]
Scientific journal

Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease
Tsuyoshi Uchida, Koichi Fujiwara, Kenichi Nishioji, Masao Kobayashi, Manabu Kano, Yuya Seko, Kanji Yamaguchi, Yoshito Itoh, Hiroshi Kadotani
Artificial Intelligence in Medicine, 128, 102310, 102310, Elsevier BV, Apr. 2022, [Corresponding author], [International Magazine]
English, Scientific journal, Although medical checkup data would be useful for identifying unknown factors of disease progression, a causal relationship between checkup items should be taken into account for precise analysis. Missing values in medical checkup data must be appropriately imputed because checkup items vary from person to person, and items that have not been tested include missing values. In addition, the patients with target diseases or disorders are small in comparison with the total number of persons recorded in the data, which means medical checkup data is an imbalanced data analysis. We propose a new method for analyzing the causal relationship in medical checkup data to discover disease progression factors based on a linear non-Gaussian acyclic model (LiNGAM), a machine learning technique for causal inference. In the proposed method, specific regression coefficients calculated through LiNGAM were compared to estimate the causal strength of the checkup items on disease progression, which is referred to as LiNGAM-beta. We also propose an analysis framework consisting of LiNGAM-beta, collaborative filtering (CF), and a sampling approach for causal inference of medical checkup data. CF and the sampling approach are useful for missing value imputation and balancing of the data distribution. We applied the proposed analysis framework to medical checkup data for identifying factors of Nonalcoholic fatty liver disease (NAFLD) development. The checkup items related to metabolic syndrome and age showed high causal effects on NAFLD severity. The level of blood urea nitrogen (BUN) would have a negative effect on NAFLD severity. Snoring frequency, which is associated with obstructive sleep apnea, affected NAFLD severity, particularly in the male group. Sleep duration also affected NAFLD severity in persons over fifty years old. These analysis results are consistent with previous reports about the causes of NAFLD; for example, NAFLD and metabolic syndrome are mutual and bi-directionally related, and BUN has a negative effect on NAFLD progression. Thus, our analysis result is plausible. The proposed analysis framework including LiNGAM-beta can be applied to various medical checkup data and will contribute to discovering unknown disease factors.

Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis
Nagata, S., Fujiwara, K., Kuga, K., Ozaki, H.
Journal of Pharmacological and Toxicological Methods, 112, 107127, Oct. 2021, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Sympathetic hyperactivity, hypertension, and tachycardia induced by stimulation of the ponto-medullary junction in humans.
Tadashi Hamasaki, Toshitaka Yamakawa, Koichi Fujiwara, Haruki Harashima, Kota Nakamura, Yoshihiro Ikuta, Tatsuo Yamamoto, Yu Hasegawa, Tatsuya Takezaki, Akitake Mukasa
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 132, 6, 1264, 1273, Jun. 2021, [Peer-reviewed], [International Magazine]
English, Scientific journal, OBJECTIVE: The purpose of this study is to investigate changes in autonomic activities and systemic circulation generated by surgical manipulation or electrical stimulation to the human brain stem. METHODS: We constructed a system that simultaneously recorded microsurgical field videos and heart rate variability (HRV) that represent autonomic activities. In 20 brain stem surgeries recorded, HRV features and sites of surgical manipulation were analyzed in 19 hypertensive epochs, defined as the periods with transient increases in the blood pressure. We analyzed the period during electrical stimulation to the ponto-medullary junction, performed for the purpose of monitoring a cranial nerve function. RESULTS: In the hypertensive epoch, HRV analysis showed that sympathetic activity predominated over the parasympathetic activity. The hypertensive epoch was more associated with surgical manipulation of the area in the caudal pons or the rostral medulla oblongata compared to controls. During the period of electrical stimulation, there were significant increases in blood pressures and heart rates, accompanied by sympathetic overdrive. CONCLUSIONS: Our results provide physiological evidence that there is an important autonomic center located adjacent to the ponto-medullary junction. SIGNIFICANCE: A large study would reveal a candidate target of neuromodulation for disorders with autonomic imbalances such as drug-resistant hypertension.

Development of Game-Like System Using Active Behavior Input for Wakefulness-Keeping Support in Driving
Tatsuro Ibe, Koichi Fujiwara, Toshihiro Hiraoka, Erika Abe, Toshitaka Yamakawa
IEEE Transactions on Intelligent Vehicles, 6, 2, 323, 332, Institute of Electrical and Electronics Engineers (IEEE), Jun. 2021, [Corresponding author]
Scientific journal

Autoencoder-Based Extrasystole Detection and Modification of RRI Data for Precise Heart Rate Variability Analysis
Koichi Fujiwara, Shota Miyatani, Asuka Goda, Miho Miyajima, Tetsuo Sasano, Manabu Kano
Sensors, 21, 9, 3235, 3235, MDPI AG, 07 May 2021, [Peer-reviewed], [Corresponding author]
English, Scientific journal, 31776990

Sympathetic hyperactivity, hypertension, and tachycardia induced by stimulation of the ponto-medullary junction in humans　　　　　　　　　　　　　　　
T. Hamasaki, T. Yamakawa, K. Fujiwara, H. Harashima, K. Nakamura, Y. Ikuta, T. Yamamoto, Y. Hasegawa, T. Takezaki, A. Mukasa
Clinical Neurophysiology, Mar. 2021, [Peer-reviewed]
English, Scientific journal

Work habit-related sleep debt; insights from factor identification analysis of actigraphy data
Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Frontiers in public health, 10, 630640, 630640, Feb. 2021, [Peer-reviewed], [Invited], [Corresponding author], [International Magazine]
English, Scientific journal, The present study investigates the factors of "Weekday sleep debt (WSD)" by comparing activity data collected from persons with and without WSD. Since it has been reported that the amount of sleep debt as well the difference between the social clock and the biological clock is associated with WSD, specifying the factors of WSD other than chronotype may contribute to sleep debt prevention. We recruited 324 healthy male employees working at the same company and collected their one-week wrist actigraphy data and answers to questionnaires. Because 106 participants were excluded due to measurement failure of the actigraphy data, the remaining 218 participants were included in the analysis. All participants were classified into WSD or non-WSD groups, in which persons had WDS if the difference between their weekend sleep duration and the mean weekday sleep duration was more than 120 min. We evaluated multiple measurements derived from the collected actigraphy data and trained a classifier that predicts the presence of WSD using these measurements. A support vector machine (SVM) was adopted as the classifier. In addition, to evaluate the contribution of each indicator to WSD, permutation feature importance was calculated based on the trained classifier. Our analysis results showed significant importance of the following three out of the tested 32 factors: 1) WSD was significantly related to persons with evening tendency. 2) Daily activity rhythms and sleep were less stable in the WSD group than in the non-WSD group. 3) A specific day of the week had the highest importance in our data, suggesting that work habit contributes to WSD. These findings indicate some WSD factors: evening chronotype, instability of the daily activity rhythm, and differences in work habits on the specific day of the week. Thus, it is necessary to evaluate the rhythms of diurnal activities as well as sleep conditions to identify the WSD factors. In particular, the diurnal activity rhythm influences WSD. It is suggested that proper management of activity rhythm may contribute to the prevention of sleep debt., 12628475

Screening of sleep apnea based on heart rate variability and long short-term memory
Ayako Iwasaki, Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Sleep and Breathing, Springer Science and Business Media LLC, 10 Jan. 2021, [Peer-reviewed], [Corresponding author]
English, Scientific journal,

Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur frequently during sleep and result in increase of the risk of lifestyle-related disease development as well as daytime sleepiness. Although SAS is a common sleep disorder, most patients remain undiagnosed because the gold standard test polysomnography (PSG), is high-cost and unavailable in many hospitals. Thus, an SAS screening system that can be used easily at home is needed.




Apnea during sleep affects changes in the autonomic nervous function, which causes fluctuation of the heart rate. In this study, we propose a new SAS screening method that combines heart rate measurement and long short-term memory (LSTM) which is a type of recurrent neural network (RNN). We analyzed the data of intervals between adjacent R waves (R-R interval; RRI) on the electrocardiogram (ECG) records, and used an LSTM model whose inputs are the RRI data is trained to discriminate the respiratory condition during sleep.




The application of the proposed method to clinical data showed that it distinguished between patients with moderate-to-severe SAS with a sensitivity of 100% and specificity of 100%, results which are superior to any other existing SAS screening methods.




Since the RRI data can be easily measured by means of wearable heart rate sensors, our method may prove to be useful as an SAS screening system at home.


, 12628475

The effect of drinking water on heart rate variability toward preventing heat illness during sports
Yamamoto Aozora, Kubo Takatomi, Fujiwara Koichi, Yamakawa Toshitaka, Okumura Nanase, Maruno Yuki
Transactions of Japanese Society for Medical and Biological Engineering, Annual59, Abstract, 381, 381, Japanese Society for Medical and Biological Engineering, 2021
Japanese, The guidelines for heat illness prevention in Japan suggest rest and rehydration based on the heat index (WBGT) to prevent heat illness during sports. However, even with such guidelines, the number of heat illness patients has not decreased yet. We analyzed the relationship between hydration and heart rate variability (HRV) of 40 subjects measured with a wearable heart rate device. Four HRV indicators investigated (NN50, pNN50, HF, LF/HF) showed changes after drinking water. The indices of the parasympathetic nervous system (NN50, pNN50, HF) showed that the value increased 1 to 5 minutes after drinking water, and the effect continued until 20 minutes later. The index of the sympathetic nervous system (LF/HF) increased only around drinking water, and the effect disappeared after 1 minute. These results suggested that the effect of drinking water on the sympathetic nervous system appears rapidly and that the effect on the parasympathetic nervous system is sustained.

Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device.
Nao Inatsu, Aoi Noguchi, Koshi Ota, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa
APSIPA ASC, 1348, 1352, 2021
International conference proceedings

Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Behavior Disorder
Yukiyoshi Sumi, Chikao Nakayama, Hiroshi Kadotani, Masahiro Matsuo, Yuji Ozeki, Takafumi Kinoshita, Yuki Goto, Manabu Kano, Toshitaka Yamakawa, Masako Hasegawa-Ohira, Keiko Ogawa, Koichi Fujiwara
Frontiers in Neurology, 11, 567984, Frontiers Media SA, Nov. 2020, [Peer-reviewed], [Last author]
English, Scientific journal, Background: Orthostatic hypotension (OH) caused by autonomic dysfunction is a common symptom in older people and patients with idiopathic rapid eye movement sleep behavior disorder (iRBD). The orthostatic challenge test is a standard autonomic function test that measures a decrease of blood pressure during a postural change from supine to standing positions. Although previous studies have reported that changes in heart rate variability (HRV) are associated with autonomic dysfunction, no study has investigated the relationship between HRV before standing and the occurrence of OH in an orthostatic challenge test. This study aims to examine the connection between HRV in the supine position and the occurrence of OH in an orthostatic challenge test.

Methods: We measured the electrocardiograms of patients with iRBD and healthy older people during an orthostatic challenge test, in which the supine and standing positions were held for 15 min, respectively. The subjects were divided into three groups: healthy controls (HC), OH-negative iRBD [OH (–) iRBD], and OH-positive iRBD [OH (+) iRBD]. HRV measured in the supine position during the test were calculated by time-domain analysis and Poincaré plots to evaluate the autonomic dysfunction.

Results: Forty-two HC, 12 OH (–) iRBD, and nine OH (+) iRBD subjects were included. HRV indices in the OH (–) and the OH (+) iRBD groups were significantly smaller than those in the HC group. The multivariate logistic regression analysis for OH identification for the iRBD groups showed the model whose inputs were the HRV indices, i.e., standard deviation 2 (SD2) and the percentage of adjacent intervals that varied by more than 50 ms (pNN50), had a receiver operating characteristic curve with area under the curve of 0.840, the sensitivity to OH (+) of 1.000, and the specificity to OH (–) of 0.583 (p = 0.023).

Conclusions: This study showed the possibility that short-term HRV indices in the supine position would predict subsequent OH in iRBD patients. Our results are of clinical importance in terms of showing the possibility that OH can be predicted using only HRV in the supine position without an orthostatic challenge test, which would improve the efficiency and safety of testing., 12628475

Optimal Design of Neuroprotective Focal Brain Cooling Device Using Surrogate Model Approach
Takuto Abe, Koichi Fujiwara, Takao Inoue, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Michiyasu Suzuki, Manabu Kano
IEEE Transactions on Medical Robotics and Bionics, 2, 4, 681, 691, Institute of Electrical and Electronics Engineers (IEEE), Nov. 2020, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene
Felan Carlo Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara, Kazushi Ikeda
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2020-, 3454, 3459, Institute of Electrical and Electronics Engineers Inc., 11 Oct. 2020
English, International conference proceedings

Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability
Toshitaka Yamakawa, Miho Miyajima, Koichi Fujiwara, Manabu Kano, Yoko Suzuki, Yutaka Watanabe, Satsuki Watanabe, Tohru Hoshida, Motoki Inaji, Taketoshi Maehara
Sensors, 20, 14, 3987, 3987, MDPI AG, 17 Jul. 2020, [Peer-reviewed]
English, Scientific journal, A warning prior to seizure onset can help improve the quality of life for epilepsy patients. The feasibility of a wearable system for predicting epileptic seizures using anomaly detection based on machine learning is evaluated. An original telemeter is developed for continuous measurement of R-R intervals derived from an electrocardiogram. A bespoke smartphone app calculates the indices of heart rate variability in real time from the R-R intervals, and the indices are monitored using multivariate statistical process control by the smartphone app. The proposed system was evaluated on seven epilepsy patients. The accuracy and reliability of the R-R interval measurement, which was examined in comparison with the reference electrocardiogram, showed sufficient performance for heart rate variability analysis. The results obtained using the proposed system were compared with those obtained using the existing video and electroencephalogram assessments; it was noted that the proposed method has a sensitivity of 85.7% in detecting heart rate variability change prior to seizures. The false positive rate of 0.62 times/h was not significantly different from the healthy controls. The prediction performance and practical advantages of portability and real-time operation are demonstrated in this study.

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis
Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano
Frontiers in Public Health, 8, 178, 19 May 2020, [Peer-reviewed], [Invited], [Lead author, Corresponding author]
English, Scientific journal

Regression and independence based variable importance measure
Xinmin Zhang, Takuya Wada, Koichi Fujiwara, Manabu Kano
Computers and Chemical Engineering, 135, 6, 106757, Apr. 2020, [Peer-reviewed], [International Magazine]
English, Scientific journal

Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform.
Takafumi Kinoshita, Koichi Fujiwara, Manabu Kano, Keiko Ogawa, Yukiyoshi Sumi, Masahiro Matsuo, Hiroshi Kadotani
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 28, 2, 390, 398, Feb. 2020, [Peer-reviewed], [Corresponding author], [International Magazine]
English, Scientific journal, Sleep spindles are important electroencephalographic (EEG) waveforms in sleep medicine; however, it is burdensome even for experts to detect spindles, so automatic spindle detection methodologies have been investigated. Conventional methods utilize waveforms template matching or machine learning for detecting spindles. In the former approach, it is necessary to tune thresholds for individual adaptation, while the latter approach has the problem of imbalanced data because the amount of sleep spindles is small compared with the entire EEG data. The present work proposes a sleep spindle detection method that combines wavelet synchrosqueezed transform (SST) and random under-sampling boosting (RUSBoost). SST is a time-frequency analysis method suitable for extracting features of spindle waveforms. RUSBoost is a framework for coping with the imbalanced data problem. The proposed SST-RUS can deal with the imbalanced data in spindle detection and does not require threshold tuning because RUSBoost uses majority voting of weak classifiers for discrimination. The performance of SST-RUS was validated using an open-access database called the Montreal archives of sleep studies cohort 1 (MASS-C1), which showed an F-measure of 0.70 with a sensitivity of 76.9% and a positive predictive value of 61.2%. The proposed method can reduce the burden of PSG scoring.

Application of wearable devices for the risk assessment and prevention of sudden unexpected death in epilepsy,てんかん突然死のリスク評価と予防におけるウェアラブルデバイスの有用性
Miyajima, M., Yamakawa, T., Fujiwara, K., Maehara, T.
Journal of the Japan Epilepsy Society, 38, 1, 2020
Scientific journal

Trial of evaluation of emotions using heart rate variability in free moving dogs
MIKURU MURAYAMA, MIHO NAGASAWA, MAKI KATAYAMA, KAZUSHI IKEDA, TAKATOMI KUBO, TOSHITAKA YAMAKAWA, KOICHI FUJIWARA, TAKEFUMI KIKUSUI
Japanese Journal of Animal Psychology, 70, 1, 15, 18, Japanese Society of Animal Psychology, 2020, [Peer-reviewed]
Scientific journal

Obstructive sleep apnea screening by heart rate variability-based apnea/normal respiration discriminant model.
Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Physiological measurement, 40, 12, 125001, 125001, 20 Dec. 2019, [Peer-reviewed], [Corresponding author], [International Magazine]
English, Scientific journal, OBJECTIVE: Obstructive sleep apnea (OSA) is a common sleep disorder; however, most patients are undiagnosed and untreated because it is difficult for patients themselves to notice OSA in daily living. Polysomnography (PSG), which is the gold standard test for sleep disorder diagnosis, cannot be performed in many hospitals. This fact motivates us to develop a simple system for screening OSA at home. APPROACH: The autonomic nervous system changes during apnea, and such changes affect heart rate variability (HRV). This work develops a new apnea screening method based on HRV analysis and machine learning technologies. An apnea/normal respiration (A/N) discriminant model is built for respiration condition estimation for every heart rate measurement, and an apnea/sleep ratio is introduced for final diagnosis. A random forest is adopted for the A/N discriminant model construction, which is trained with the PhysioNet apnea-ECG database. MAIN RESULTS: The screening performance of the proposed method was evaluated by applying it to clinical PSG data. Sensitivity and specificity achieved 76% and 92%, respectively, which are comparable to existing portable sleep monitoring devices used in sleep laboratories. SIGNIFICANCE: Since the proposed OSA screening method can be used more easily than existing devices, it will contribute to OSA treatment.

Views of patients with epilepsy on wearable seizure prediction system; impact of two different type of devices on sleep quality
M. Miyajima, T. Yamakawa, K. Fujiwara, T. Seki, T. ohno, M. Iimori, M. Inaji, H. Osoegawa, M. Kano, T. Maehara
Sleep Medicine, 64, Elsevier {BV}, Dec. 2019
English, Scientific journal

医師患者関係のトラスト構築に向けたAI活用の可能性　　　　　　　　　　　　　　　
藤田 卓仙, 江間 有沙, 近藤 諭, 藤原 幸一, 中谷内 一也, 尾藤 誠司
医療情報学連合大会論文集, 39回, 126, 128, (一社)日本医療情報学会, Nov. 2019
Japanese

Development of a Sleep Apnea Detection Algorithm Using Long Short-Term Memory and Heart Rate Variability.
Ayako Iwasaki, Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Annu Int Conf IEEE Eng Med Biol Soc., 2019, 3964, 3967, Jul. 2019, [Peer-reviewed], [International Magazine]
English, Scientific journal, Sleep apnea syndrome (SAS) is a prevalent disorder which causes daytime fatigue with the increased risk of lifestyle diseases. A large number of patients are undiagnosed and untreated partly because of the difficulty in performing its gold standard test, polysomnography (PSG). In this research, we propose a simple screening method utilizing heart rate variability (HRV) and long short-term memory (LSTM) which is a kind of neural network techniques. The result of applying this algorithm to clinical data demonstrates that it can discriminate between patients and healthy people with high sensitivity (100%) and specificity (100%).

Emotional Contagion From Humans to Dogs Is Facilitated by Duration of Ownership
M. Katayama, T. Kubo, T. Yamakawa, K. Fujiwara, K. Nomoto, K. Ikeda, K. Mogi, M. Nagasawa, T. Kikusui
Frontiers in Psychology, 10, 1678, 1678, Jul. 2019, [Peer-reviewed], [International Magazine]
English, Scientific journal, Emotional contagion is a primitive form of empathy that does not need higher psychological functions. Recent studies reported that emotional contagion exists not only between humans but also among various animal species. The dog (Canis familiaris) is a unique animal and the oldest domesticated species. Dogs have coexisted with humans for more than 30,000 years and are woven into human society as partners bonding with humans. Dogs have acquired human-like communication skills and, likely as a result of the domestication process, the ability to read human emotions; therefore, it is feasible that there may be emotional contagion between human and dogs. However, the higher time-resolution of measurement of emotional contagion between them is yet to be conducted. We assessed the emotional reactions of dogs and humans by heart rate variability (HRV), which reflects emotion, under a psychological stress condition on the owners. The correlation coefficients of heart beat (R-R) intervals (RRI), the standard deviations of all RR intervals (SDNN), and the square root of the mean of the sum of the square of differences between adjacent RR intervals (RMSSD) between dogs and owners were positively correlated with the duration of dog ownership. Dogs' sex also influenced the correlation coefficients of the RRI, SDNN, and RMSSD in the control condition; female showed stronger values. These results suggest that emotional contagion from owner to dog can occur especially in females and the time sharing the same environment is the key factor in inducing the efficacy of emotional contagion.

Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG.
Koichi Fujiwara, Erika Abe, Keisuke Kamata, Chikao Nakayama, Yoko Suzuki, Toshitaka Yamakawa, Toshihiro Hiraoka, Manabu Kano, Yukiyoshi Sumi, Fumi Masuda, Masahiro Matsuo, Hiroshi Kadotani
IEEE transactions on bio-medical engineering, 66, 6, 1769, 1778, Jun. 2019, [Peer-reviewed], [Lead author, Corresponding author], [International Magazine]
English, Scientific journal, OBJECTIVE: Driver drowsiness detection is a key technology that can prevent fatal car accidents caused by drowsy driving. The present work proposes a driver drowsiness detection algorithm based on heart rate variability (HRV) analysis and validates the proposed method by comparing with electroencephalography (EEG)-based sleep scoring. METHODS: Changes in sleep condition affect the autonomic nervous system and then HRV, which is defined as an RR interval (RRI) fluctuation on an electrocardiogram trace. Eight HRV features are monitored for detecting changes in HRV by using multivariate statistical process control, which is a well known anomaly detection method. RESULT: The performance of the proposed algorithm was evaluated through an experiment using a driving simulator. In this experiment, RRI data were measured from 34 participants during driving, and their sleep onsets were determined based on the EEG data by a sleep specialist. The validation result of the experimental data with the EEG data showed that drowsiness was detected in 12 out of 13 pre-N1 episodes prior to the sleep onsets, and the false positive rate was 1.7 times per hour. CONCLUSION: The present work also demonstrates the usefulness of the framework of HRV-based anomaly detection that was originally proposed for epileptic seizure prediction. SIGNIFICANCE: The proposed method can contribute to preventing accidents caused by drowsy driving.

Epileptic Seizure Suppression by Focal Brain Cooling with Recirculating Coolant Cooling System: Modeling and Simulation
Kei Hata, Koichi Fujiwara, Takao Inoue, Takuto Abe, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki, Manabu Kano
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, 2, 162, 171, Feb. 2019, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Missing RRI interpolation algorithm based on locally weighted partial least squares for precise heart rate variability analysis
Keisuke Kamata, Koichi Fujiwara, Takafumi Kinoshita, Manabu Kano
Sensors, 18, 11, 3870, 10 Nov. 2018, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Deniosing Autoencoder-based Modification of RRI data with Premature Ventricular Contraction for Precise Heart Rate Variability Analysis
Shota Miyatani, Koichi Fujiwara, Manabu Kano
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2018-July, 5018, 5021, 26 Oct. 2018, [Peer-reviewed]
International conference proceedings

Is hemifacial spasm affected by changes in the heart rate? A study using heart rate variability analysis.
Tadashi Hamasaki, Motohiro Morioka, Koichi Fujiwara, Chikao Nakayama, Miho Harada, Kiyohiko Sakata, Yu Hasegawa, Toshitaka Yamakawa, Kazumichi Yamada, Akitake Mukasa
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 129, 10, 2205, 2214, Oct. 2018, [Peer-reviewed], [Corresponding author], [International Magazine]
English, Scientific journal, OBJECTIVE: Hemifacial spasm (HFS) is caused by arterial conflict at the root exit zone of the facial nerve. As the offending artery is pulsatile in nature, this study investigated the association of heart rate fluctuation with HFS. METHODS: Twenty-four preoperative patients underwent simultaneous recordings of facial electromyogram and electrocardiogram overnight. Series of R-wave to R-wave intervals (RRIs) in the electrocardiogram were analyzed across subjects in relation to HFS. The degree of heart rate fluctuation was quantified by analyzing the heart rate variability (HRV). The sleep stage was evaluated during the period of HFS. RESULTS: A 0.1 Hz fluctuation in RRIs by 5% compared to the baseline preceded a few seconds the onset of the HFS, indicating that a significant increase in the heart rate coincided with HFS. HRV analysis demonstrated that fluctuations in the heart rate were significantly enhanced during HFS. Wake or light sleep stages were more often accompanied by HFS, suggesting an association with autonomic activities. CONCLUSION: Our findings suggest that the etiology of HFS is more than just a mechanical compression of the facial nerve and may involve changes in pulsatile frequency in offending arteries. SIGNIFICANCE: We propose the etiology of HFS from a unique standpoint.

Ischemic stroke detection by analyzing heart rate variability in rat middle cerebral artery occlusion model
Tomonobu Kodama, Keisuke Kamata, Koichi Fujiwara, Manabu Kano, Toshitaka Yamakawa, Ichiro Yuki, Yuichi Murayama
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 6, 1152, 1160, Jun. 2018, [Peer-reviewed], [Corresponding author]
English, Scientific journal

Nearest correlation-based input variable weighting for soft-sensor design
Fujiwara, K., Kano, M.
Frontiers in Chemistry, 6, MAY, May 2018, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Design of false heart rate feedback system for improving game experience
Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Erika Abe, Manabu Kano
2018 IEEE International Conference on Consumer Electronics, ICCE 2018, 2018-January, 1, 4, 26 Mar. 2018, [Peer-reviewed]
International conference proceedings

CFD-Based Design of Focal Brain Cooling System for Suppressing Epileptic Seizures
Kei Hata, Takuto Abe, Takao Inoue, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki, Manabu Kano
Computer Aided Chemical Engineering, 44, 2089, 2094, 01 Jan. 2018, [Peer-reviewed]
In book

Validation of HRV-based drowsy-driving detection method with EEG sleep stage classification
T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani
Sleep Medicine (Proc. of World Sleep Congress), 40, e352, e352, Elsevier BV, Dec. 2017, [Peer-reviewed]
English, International conference proceedings

Seizure prediction in localization-related epilepsy by heart rate variability monitoring
Miyajima M, Fujiwara K, Toshitaka Y, Yoko S, Sasai-Sakuma T, Kano M, Maehara T, Watanabe Y, Watanabe S, Murata Y, Sasano T, Eisuke M
JOURNAL OF THE NEUROLOGICAL SCIENCES, 381, 554, 555, Oct. 2017, [Peer-reviewed]
English

A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model
Tomonobu Kodata, Keisuke Kamata, Koichi Fujiwara, Manabu Kano, Toshiki Yamakawa, Ichiro Yuki, Yuichi Murayama
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 3061, 3064, 13 Sep. 2017, [Peer-reviewed]
English, International conference proceedings

Design of focal brain cooling system for suppressing epileptic seizures
Kei Hata, Koichi Fujiwara, Manabu Kano, Takao Inoue, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 283, 286, 13 Sep. 2017, [Peer-reviewed]
English, International conference proceedings

Development of correlation-based process characteristics visualization method and its application to fault detection
Koichi Fujiwara, Manabu Kano
IEEE International Conference on Control and Automation, ICCA, 940, 945, 04 Aug. 2017, [Peer-reviewed]
English, International conference proceedings

運転中の能動的行為によるドライバの覚醒維持効果と運転安全性
伊部達郎, 平岡敏洋, 阿部恵里花, 藤原幸一, 山川俊貴
自動車技術会論文集, 48, 2, 463, 469, Feb. 2017, [Peer-reviewed]
Japanese, Scientific journal

Missing RRI interpolation for HRV analysis using locally-weighted partial least squares regression
Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016-October, EMBC, 2386, 2389, 13 Oct. 2016, [Peer-reviewed]
English, International conference proceedings

Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Erika Abe, Yoko Suzuki, Yuriko Sawada, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Taeko Sasai-Sakuma, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 63, 6, 1321, 1332, Jun. 2016, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Evaluation of a Portable Two-channel Electroencephalogram Monitoring System to Analyze Sleep Stages
T. Kanemura, H. Kadotani, M. Matsuo, F. Masuda, K. Fujiwara, M. Ohira, N. Yamada
Journal of Oral and Sleep Medicine, 2, 2, 101, 108, (NPO)日本睡眠歯科学会, May 2016, [Peer-reviewed]
English, Scientific journal

Variable Elimination-Based Contribution for Accurate Fault Identification
Satoyama, Y., Fujiwara, K., Kano, M.
IFAC-PapersOnLine, 49, 7, 383, 388, 2016, [Peer-reviewed]
English, Scientific journal

Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
Fujiwara, K., Miyajima, M., Yamakawa, T., Abe, E., Suzuki, Y., Sawada, Y., Kano, M., Maehara, T., Ohta, K., Sasai-Sakuma, T., Sasano, T., Matsuura, M., Matsushima, E.
IEEE Transactions on Biomedical Engineering, 63, 6, 1321, 1332, 2016, [Peer-reviewed]
English, Scientific journal

Canine Emotional States Assessment with Heart Rate Variability
Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara, Miho Nagasawa, Takefumi Kikusui, Kazushi Ikeda
2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2016, [Peer-reviewed]
English, International conference proceedings

Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and Multivariate Statistical Process Control
E. Abe, K. Fujiwara, T. Hiraoka, T. Yamakawa, M. Kano
SICE Journal of Control, Measurement, and System Integration, 9, 1, 10, 17, The Society of Instrument and Control Engineers, Jan. 2016, [Peer-reviewed], [Corresponding author]
English, Scientific journal, Drowsy driving accidents can be prevented if predicted in advance. The present work aims to develop a new method for detecting driver drowsiness based on the fact that the autonomic nervous function affects heart rate variability (HRV), which is a fluctuation of the RR interval (RRI) obtained from an electrocardiogram (ECG). The proposed method uses eight HRV features derived through HRV analysis as input variables of multivariate statistical process control (MSPC), which is a well-known anomaly detection method in the field of process control. In the proposed method, only one principal component was adopted in MSPC and driver drowsiness was detected through monitoring the T2 statistic. Driving simulator experiments demonstrated that driver drowsiness was successfully detected in seven out of eight cases before accidents occurred. In addition, the proposed method was implemented in a smartphone app for on-vehicle use.

Comparisons of Portable Sleep Monitors of Different Modalities: Potential as Naturalistic Sleep Recorders.
Masahiro Matsuo, Fumi Masuda, Yukiyoshi Sumi, Masahiro Takahashi, Naoto Yamada, Masako Hasegawa Ohira, Koichi Fujiwara, Takashi Kanemura, Hiroshi Kadotani
Frontiers in neurology, 7, 110, 110, 2016, [Peer-reviewed], [International Magazine]
English, Scientific journal, BACKGROUND: Humans spend more than one-fourth of their life sleeping, and sleep quality has been significantly linked to health. However, the objective examination of ambulatory sleep quality remains a challenge, since sleep is a state of unconsciousness, which limits the reliability of self-reports. Therefore, a non-invasive, continuous, and objective method for the recording and analysis of naturalistic sleep is required. OBJECTIVE: Portable sleep recording devices provide a suitable solution for the ambulatory analysis of sleep quality. In this study, the performance of two activity-based sleep monitors (Actiwatch and MTN-210) and a single-channel electroencephalography (EEG)-based sleep monitor (SleepScope) were compared in order to examine their reliability for the assessment of sleep quality. METHODS: Twenty healthy adults were recruited for this study. First, data from daily activity recorded by Actiwatch and MTN-210 were compared to determine whether MTN-210, a more affordable device, could yield data similar to Actiwatch, the de facto standard. In addition, sleep detection ability was examined using data obtained by polysomnography as reference. One simple analysis included comparing the sleep/wake detection ability of Actiwatch, MTN-210, and SleepScope. Furthermore, the fidelity of sleep stage determination was examined using SleepScope in finer time resolution. RESULTS: The results indicate that MTN-210 demonstrates an activity pattern comparable to that of Actiwatch, although their sensitivity preferences were not identical. Moreover, MTN-210 provides assessment of sleep duration comparable to that of the wrist-worn Actiwatch when MTN-210 was attached to the body. SleepScope featured superior overall sleep detection performance among the three methods tested. Furthermore, SleepScope was able to provide information regarding sleep architecture, although systemic bias was found. CONCLUSION: The present results suggest that single-channel EEG-based sleep monitors are the superior option for the examination of naturalistic sleep. The current results pave a possible future use for reliable portable sleep assessment methods in an ambulatory rather than a laboratory setting.

Efficient wavenumber selection based on spectral fluctuation dividing and correlation-based clustering for calibration modeling
Takuya Miyano, Koichi Fujiwara, Manabu Kano, Hideaki Tanabe, Hiroshi Nakagawa, Tomoyuki Watanabe, Hidemi Minami
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 148, 85, 94, Nov. 2015, [Peer-reviewed]
English, Scientific journal

Efficient input variable selection for soft-senor design based on nearest correlation spectral clustering and group Lasso
Koichi Fujiwara, Manabu Kano
ISA TRANSACTIONS, 58, 9, 367, 379, Sep. 2015, [Peer-reviewed], [Lead author, Corresponding author]
English, Scientific journal

Heart Rate Monitoring by A Pulse Sensor Embedded Game Controller
Erika Abe, Hiroshi Chigira, Koichi Fujiwarai, Toshitaka Yamakawa, Manabu Kano
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 1266, 1269, 2015, [Peer-reviewed]
English, International conference proceedings

Accuracy Comparison between Two Microcontroller-embedded R-wave Detection Methods for Heart-rate Variability Analysis
Toshitaka Yamakawa, Ryunosuke Kinoshita, Koichi Fujiwara, Manabu Kano, Miho Miyajima, Tadashi Sakata, Yuichi Ueda
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 1010, 1013, 2015, [Peer-reviewed]
English, International conference proceedings

Development of Stroke Detection Method by Heart Rate Variability Analysis and Support Vector Machine
Keisuke Kamata, Koichi Fujiwara, Tomonobu Kodama, Manabu Kano, Toshitaka Yamakawa, Norikata Kobayashi, Fuminori Shimizu
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 1257, 1261, 2015
English, International conference proceedings

Nearest correlation Louvain method for fast and good selection of input variables of statistical model
Uchimaru, T., Hazama, K., Fujiwara, K., Kano, M.
IFAC-PapersOnLine, 28, 8, 123, 128, 2015, [Peer-reviewed]
Scientific journal

A Study on Heart Rate Monitoring in Daily Life by Using a Surface-Type Sensor
H. Chigira, A. Maeda, M. Kobayashi, K. Fujiwara, T. Hiraoka, A. Tanaka, T. Tanaka
SICE Journal of Control, Measurement, and System Integration, 8, 1, 74, 78, The Society of Instrument and Control Engineers, Jan. 2015, [Peer-reviewed]
English, Scientific journal, Heart rate monitoring has huge potential in disease prevention, stroke prediction, and mental stress/workload assessment. Although most conventional heart rate monitoring systems are wearable devices, such devices may be obtrusive and disturb our daily life. This work proposes a new large, thin and flat/curved surface-type heart rate sensor. Building the proposed sensor into the surfaces of daily devices, such as a steering wheel or a computer mouse, allows daily heart rate to be monitored unobtrusively, without changing the users behavior. Experiments on subjects evaluated the heart rate monitoring performances of flat, curved, and mouse-embedded prototypes. The results confirm PPG measurement accuracies equivalent to those of the conventional point sensor.

Development of Drowsy Driving Accident Prediction by Heart Rate Variability Analysis
Erika Abe, Koichi Fujiwara, Toshihiro Hiraoka, Toshitaka Yamakawa, Manabu Kano
2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014
English, International conference proceedings

Epileptic seizure monitoring by using multivariate statistical process control
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
IFAC Proceedings Volumes (IFAC-PapersOnline), 12, PART 1, 249, 254, 2013, [Peer-reviewed]
English, International conference proceedings

Virtual sensing technology in process industries: Trends and challenges revealed by recent industrial applications
Manabu Kano, Koichi Fujiwara
Journal of Chemical Engineering of Japan, 46, 1, 1, 17, 2013, [Peer-reviewed]
English

Input variable selection for PLS modeling using nearest correlation spectral clustering
Koichi Fujiwara, Hiroshi Sawada, Manabu Kano
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 118, 109, 119, Aug. 2012, [Peer-reviewed], [Lead author]
English, Scientific journal

Development of correlation-based pattern recognition algorithm and adaptive soft-sensor design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
CONTROL ENGINEERING PRACTICE, 20, 4, 371, 378, Apr. 2012, [Peer-reviewed], [Lead author]
English, Scientific journal

Correlation-based spectral clustering for flexible process monitoring
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
JOURNAL OF PROCESS CONTROL, 21, 10, 1438, 1448, Dec. 2011, [Peer-reviewed], [Lead author]
English, Scientific journal

Development of correlation-based clustering method and its application to software sensing
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 101, 2, 130, 138, Apr. 2010, [Peer-reviewed], [Lead author]
English, Scientific journal

Soft-Sensor Development Using Correlation-Based Just-in-Time Modeling
Koichi Fujiwara, Manabu Kano, Shinji Hasebe, Akitoshi Takinami
AICHE JOURNAL, 55, 7, 1754, 1765, Jul. 2009, [Peer-reviewed], [Lead author]
English, Scientific journal

Development of correlation-based pattern recognition and its application to adaptive soft-sensor design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings, 1990, 1995, 2009, [Peer-reviewed]
International conference proceedings

Correlation-based Just-In-Time Modeling for Softsensor Design
FUJIWARA Koichi, KANO Manabu, HASEBE Shinji
Transactions of the Society of Instrument and Control Engineers, 44, 4, 317, 324, The Society of Instrument and Control Engineers, Apr. 2008, [Peer-reviewed], [Lead author]
Japanese, Softsensors are widely used for estimating product quality or other key variables when on-line analyzers are not available. However, their estimation performance deteriorates when the process characteristics change. To cope with the changes in process characteristics and update the model, recursive methods such as recursive PLS and Just-In-Time (JIT) modeling have been developed. However, they do not always function well when process characteristics change abruptly. In the present work, a new method for constructing softsensors based on a JIT modeling technique is proposed. In the proposed method, referred to as correlation-based JIT modeling, the samples used for local modeling are selected on the basis of the correlation among variables. Q statistic is used as an index of the correlation. The proposed modeling procedure is as follows: 1) Divide samples stored in the database into some temporal datasets, 2) Apply Principal Component Analysis (PCA) to the datasets separately, 3) Calculate Q statistic of the query point against each dataset, 4) Select a dataset which provides the smallest Q statistic, and 5) Construct a temporary model from the selected dataset. The proposed method can adapt a model to changes in process characteristics even when operating condition is changed abruptly. It can also cope with process nonlinearity. The usefulness of the proposed method is demonstrated through a case study of a CSTR process whose catalyst deactivation and recovery are considered as changes in process characteristics.

Epitaxial supramolecular assembly of fullerenes formed by using a coronene template on a Au(111) surface in solution
Yoshimoto, S., Tsutsumi, E., Narita, R., Murata, Y., Murata, M., Fujiwara, K., Komatsu, K., Ito, O., Itaya, K.
Journal of the American Chemical Society, 129, 14, 2007
Scientific journal

Operation Profile Optimization for Batch Process by Using Wavelet Analysis
FUJIWARA Koichi, KANO Manabu, HASEBE Shinji, OHNO Hiromu
Transactions of the Society of Instrument and Control Engineers, 42, 10, 1143, 1149, The Society of Instrument and Control Engineers, Oct. 2006, [Peer-reviewed], [Lead author]
Japanese, In the present work, a new regression method based on wavelet analysis and multivariate analysis is proposed. Referred to as wavelet coefficient regression (WCR), the proposed method can build a statistical model that relates operation profiles with product quality in a batch process. In WCR, selected wavelet coefficients of operation profiles are used as input variables of a statistical model, and thus time-related information such as timing of manipulation can be successfully modeled. In addition, by integrating multivariate analysis and wavelet analysis, WCR can cope with correlation of input variables. As a result, WCR enables us to build an accurate statistical model of a batch process. On the basis of WCR, a data-driven method for improving product quality in a batch process is also proposed. The proposed method can determine operation profiles that can achieve the desired product quality and optimize the operation profiles under a given performance index and various constraints. The usefulness of the proposed WCR and quality improvement method is demonstrated through a case study of lysine production based on a semi-batch fermentation process.

Quantification of Qualitative Quality Information for Data-Driven Quality Improvement
KANO Manabu, FUJIWARA Koichi, HASEBE Shinji, OHNO Hiromu
Transactions of the Society of Instrument and Control Engineers, 42, 8, 902, 908, The Society of Instrument and Control Engineers, Aug. 2006, [Peer-reviewed]
Japanese, The most important contribution of this work is to provide a new quantification method for product quality. A qualitative quality variable can be quantified by using a conventional method, e.g., good=1 and bad=0. However, this quantification method is useless for operating condition optimization, because the quantified variable does not have any physical meaning and thus the desired quality cannot be specified. On the other hand, the proposed method can relate operating condition to product yield by integrating principal component analysis (PCA) and liner discriminant analysis (LDA), and thus it enables us to specify the desired product quality and optimize the operating condition. In addition, a data-driven methodology for improving product quality and yield is proposed. Referred to as Data-Driven Quality Improvement (DDQI), the proposed method can cope with qualitative as well as quantitative quality variables, determine the operating conditions that can achieve the desired product quality, optimize the operating condition under various constraints, and thus can provide useful information to improve product quality. The usefulness of the proposed quantification method and DDQI is demonstrated through an illustrative case study.

Development of Data-Based Hierarchical Quality Improvement System (HiQIS):Manipulated Variables Selection for Quality Control
FUJIWARA Koichi, KANO Manabu, HASEBE Shinji, OHNO Hiromu
Transactions of the Society of Instrument and Control Engineers, 42, 8, 909, 915, The Society of Instrument and Control Engineers, Aug. 2006, [Peer-reviewed], [Lead author]
Japanese, A new process control and monitoring system for quality imprgvement, referred to as hierarchical quality improvement system (HiQIS), is proposed. HiQIS consists of data-driven quality improvement (DDQI), Run-to-Run (R2R) control, local control, and multivariate statistical process control (MSPC). The main features of HiQIS are: 1) to build a statistical quality model, 2) to analyze the cause of quality variation, 3) to select a few variables to be manipulated, 4) to optimize the operating condition, and 5) to realize the desired quality even if there is modeling error and disturbances. A typical problem encountered in real applications is product quality variation, which occurs even if operators attempt to keep operating conditions at constant. In addition, from the practical viewpoint, it is difficult to change many operating condition variables simultaneously. Therefore, in the present work, quality variation analysis and manipulated variables selection are mainly focused on. The usefulness of HiQIS and the proposed methods are demonstrated through a case study.

Product quality improvement using multivariate data analysis
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
IFAC Proceedings Volumes (IFAC-PapersOnline), 16, 175, 180, 2005, [Peer-reviewed]
International conference proceedings

Data-driven quality improvement: Handling qualitative variables　　　　　　　　　　　　　　　
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
IFAC Proceedings Volumes (IFAC-PapersOnline), 37, 9, 565, 570, IFAC Secretariat, 2004
English, International conference proceedings

Adlayers of C60-C60 and C60-C 70 Fullerene Dimers Formed on Au(111) in Benzene Solutions Studied by STM and LEED
Matsumoto, M., Inukai, J., Tsutsumi, E., Yoshimoto, S., Itaya, K., Ito, O., Fujiwara, K., Murata, M., Murata, Y., Komatsu, K.
Langmuir, 20, 4, 2004
Scientific journal

Mechanochemical synthesis of a novel C60 dimer connected by a silicon bridge and a single bond
Fujiwara, K., Komatsu, K.
Organic Letters, 4, 6, 2002
Scientific journal

Structural analysis of C60 trimers by direct observation with scanning tunneling microscopy
Kunitake, M., Uemura, S., Ito, O., Fujiwara, K., Murata, Y., Komatsu, K.
Angewandte Chemie International Edition, 41, 6, 2002
Scientific journal

Direct observation of localized excitation in the lowest excited triplet state of fullerene dimers C120 and C120O by means of time-resolved electron paramagnetic resonance
Yamauchi, S., Funayama, T., Ohba, Y., Paul, P., Reed, C.A., Fujiwara, K., Komatsu, K.
Chemical Physics Letters, 363, 3-4, 2002
Scientific journal

Adlayers of fullerene monomer and [2 + 2]-type dimer on Au(111) in aqueous solution studied by in situ scanning tunneling microscopy
Yoshimoto, S., Narita, R., Tsutsumi, E., Matsumoto, M., Itaya, K., Ito, O., Fujiwara, K., Murata, Y., Komatsu, K.
Langmuir, 18, 22, 2002
Scientific journal

Photophysical and photochemical properties of decakis-adduct of C120 and related compounds
Fujitsuka, M., Fujiwara, K., Murata, Y., Ito, O., Komatsu, K.
Chemistry Letters, 5, 2002
Scientific journal

A supramolecular oscillator composed of carbon nanocluster C120 and a rhodium(III) porphyrin cyclic dimer
Tashiro, K., Hirabayashi, Y., Aida, T., Saigo, K., Fujiwara, K., Komatsu, K., Sakamoto, S., Yamaguchi, K.
Journal of the American Chemical Society, 124, 41, 2002
Scientific journal

Properties of photoexcited states of C180, a triangle trimer of C60
Fujitsuka, M., Fujiwara, K., Murata, Y., Uemura, S., Kunitake, M., Ito, O., Komatsu, K.
Chemistry Letters, 5, 2001
Scientific journal

First synthesis of a highly symmetrical decakis-adduct of fullerene dimer C120
Fujiwara, K., Komatsu, K.
Chemical Communications, 1, 19, 2001
Scientific journal

Positron lifetime in supramolecular gamma- and delta-cyclodextrin- C60 and - C70 compounds
S{\"u}vegh, K., Fujiwara, K., Komatsu, K., Marek, T., Ueda, T., V{\'e}rtes, A., Braun, T.
Chemical Physics Letters, 344, 3-4, 2001
Scientific journal

Derivatization of fullerene dimer C120by the Bingel reaction and a 3He NMR study of 3He@C120 monoadducts
Fujiwara, K., Komatsu, K., Wang, G.-W., Tanaka, T., Hirata, K., Yamamoto, K., Saunders, M.
Journal of the American Chemical Society, 123, 43, 2001
Scientific journal

The fullerene cross-dimer C130: Synthesis and properties
Komatsu, K., Fujiwara, K., Murata, Y.
Chemical Communications, 17, 2000
Scientific journal

The mechanochemical synthesis and properties of the fullerene trimer C180
Komatsu, K., Fujiwara, K., Murata, Y.
Chemistry Letters, 9, 2000
Scientific journal

Ultrafast energy relaxation dynamics of C120, a [2+2]-bridged C60 dimer
Cho, H.S., Kim, S.K., Kim, D., Fujiwara, K., Komatsu, K.
Journal of Physical Chemistry A, 104, 43, 2000
Scientific journal

Fullerene dimer C120 and related carbon allotropes
Komatsu, K., Fujiwara, K., Tanaka, T., Murata, Y.
Carbon, 38, 11, 2000
Scientific journal

Solid-state mechanochemical reaction of fullerene C60
Komatsu, K., Murata, Y., Wang, G.-W., Tanaka, T., Kato, N., Fujiwara, K.
Fullerene Science and Technology, 7, 4, 1999
Scientific journal

Aqueous solubilization of crystalline fullerenes by supramolecular complexation with y-cyclodextrin and sulfocalix[8]arene under mechanochemical high-speed vibration milling
Komatsu, K., Fujiwara, K., Murata, Y., Braun, T.
Journal of the Chemical Society - Perkin Transactions 1, 20, 1999
Scientific journal

Solid-state [4 + 2] cycloaddition of fullerene C₆₀ with condensed aromatics using a high-speed vibration milling technique
Murata, Y., Karo, N., Fujiwara, K., Komatsu, K.
Journal of Organic Chemistry, 64, 10, 1999
Scientific journal

Mechanochemical synthesis and characterization of the fullerene dimer C120
Komatsu, K., Wang, G.-W., Murata, Y., Tanaka, T., Fujiwara, K., Yamamoto, K., Saunders, M.
Journal of Organic Chemistry, 63, 25, 1998
Scientific journal

Synthesis of a propargyl alcohol having a C60 cage, its transformation into C60 derivatives with polar functional groups, and the solubility measurements
Fujiwara, K., Murata, Y., Wan, T.S.M., Komatsu, K.
Tetrahedron, 54, 10, 1998
Scientific journal

Sensitive Detection of Viral Antigens With A New Method, “Laser Magnet Immunoassay”
Mizutani, H., Suzuki, M., Mizutani, H., Fujiwara, K., Shibata, S., Arishima, K., Hoshino, M., Ushijima, H., Honma, H., KitamurA, T.
Microbiology and Immunology, 35, 9, 1991
Scientific journal

Electron Microscopic Studies of Viruses Labeled with Magnetite
Mizutani, H., Mizutani, H., Nozaki, K., Fujiwara, K.
Microbiology and Immunology, 33, 7, 1989
Scientific journal

Olfactory Response in the Yellowtail Seriola quinqueradiata
Kobayashi, H., Fujiwara, K.
NIPPON SUISAN GAKKAISHI, 53, 10, 1987
Scientific journal

レム睡眠行動障害患者が有する起立性低血圧の重症度を心拍変動指標に基づいて分類する機械学習モデルの開発
小枝正汰, 藤原幸一, 角幸頼, 角谷寛, 日本生体医工学会大会プログラム・抄録集(Web), 63rd, 2024

孤発性レム睡眠行動障害における起立時自律神経反応と長期予後の関連
角幸頼, 小枝正汰, 藤原幸一, 尾関祐二, 角谷寛, 日本睡眠学会定期学術集会プログラム・抄録集, 48th, 2024

生体信号処理を活用した医療AI
藤原幸一, 中西俊之, 計測と制御, 63, 6, 342, 348, 2024, [Invited], [Lead author, Corresponding author]
Japanese, Introduction scientific journal

レム睡眠行動障害におけるデルタ・ガンマ帯域パワー値の増大は夢内容行動化と関連する　　　　　　　　　　　　　　　
伊達 俊坪, 藤原 幸一, 角 幸頼, 角谷 寛, 今井 眞, 小川 景子, 日本睡眠学会定期学術集会プログラム・抄録集, 47回, 241, 241, Jun. 2022
(一社)日本睡眠学会, Japanese

Research on Technological and Social Issues Related to Social Implementation of Embedded Cyborg Technology
藤原幸一, 藤田卓仙, 山川俊貴, 久保孝富, 日永田智絵, 桐山瑶子, 川島浩誉, 川治徹真, 野田隼人, 田畑淳, 人工知能, 36, 6, 674, 683, Nov. 2021, [Invited], [Lead author, Corresponding author]
Japanese, 31644670

睡眠脳波に基づく日中の疲労と眠気の鑑別に関する調査　　　　　　　　　　　　　　　
藤原 幸一, 後藤 有貴, 角 幸頼, 加納 学, 角谷 寛, 日本睡眠学会定期学術集会プログラム・抄録集, 46回, 211, 211, Sep. 2021
(一社)日本睡眠学会, Japanese

SST-RUSを用いた睡眠脳波解析による異なる音環境下でのスピンドル出現の評価　　　　　　　　　　　　　　　
小枝 正汰, 藤原 幸一, 木下 貴文, 角 幸頼, 角谷 寛, 山木 清志, 森島 守人, 川嶋 隆宏, 日本睡眠学会定期学術集会プログラム・抄録集, 46回, 214, 214, Sep. 2021
(一社)日本睡眠学会, Japanese

畳み込みニューラルネットワークを用いた睡眠時無呼吸症候群スクリーニング　　　　　　　　　　　　　　　
王 歩雲, 岩崎 絢子, 藤原 幸一, 永元 哲治, 角 幸頼, 加納 学, 井関 邦敏, 名嘉村 博, 角谷 寛, 日本睡眠学会定期学術集会プログラム・抄録集, 46回, 221, 221, Sep. 2021
(一社)日本睡眠学会, Japanese

A Focal-Origin Bilateral Tonic-clonic Seizure Detection Algorithm Based on AI Analysis of Heart Rate Variability
芹野真郷, 宮島美穂, 藤原幸一, 鈴木陽子, 加納学, 稲次基希, 橋本聡華, 中里信和, 神一敬, 星田徹, 澤井康子, 渡辺裕貴, 山本信二, 岩崎真樹, 前原健寿, てんかん研究, 39, 2, 399, 399, Jul. 2021
(一社)日本てんかん学会, Japanese

レム睡眠行動障害研究の進歩 レム睡眠行動障害の自律神経障害
角 幸頼, 松尾 雅博, 尾関 祐二, 仲山 千佳夫, 藤原 幸一, 角谷 寛, 臨床神経生理学, 48, 5, 401, 401, Oct. 2020
(一社)日本臨床神経生理学会, Japanese

レム睡眠行動障害研究の進歩 レム睡眠行動障害の自律神経障害
角 幸頼, 松尾 雅博, 尾関 祐二, 仲山 千佳夫, 藤原 幸一, 角谷 寛, 臨床神経生理学, 48, 5, 401, 401, Oct. 2020
(一社)日本臨床神経生理学会, Japanese

Development of Sleep Spindle Detection Algorithm by Combining Synchrosqueezed Wavelet Transform and RUSBoost
藤原幸一, 木下貴文, 角幸頼, 松尾雅博, 小川景子, 加納学, 角谷寛, 人工知能学会全国大会(Web), 34th, 0, 1M4GS1301, 1M4GS1301, 2020

Sleep spindles are important electroencephalographic (EEG) waveforms in sleep medicine; however, it is burdensome even for experts to detect spindles, so automatic spindle detection methodologies have been investigated. Conventional methods utilize waveforms template matching or machine learning for detecting spindles. In the former approach, it is necessary to tune thresholds for individual adaptation, while the latter approach has the problem of imbalanced data because the amount of sleep spindles is small compared with the entire EEG data. The present work proposes a sleep spindle detection method that combines wavelet synchrosqueezed transform (SST) and random under-sampling boosting (RUSBoost). SST is a time-frequency analysis method suitable for extracting features of spindle waveforms. RUSBoost is a framework for coping with the imbalanced data problem. The proposed SST-RUS can deal with the imbalanced data in spindle detection and does not require threshold tuning because RUSBoost uses majority voting of weak classifiers for discrimination. The performance of SST-RUS was validated using an open-access database called the Montreal archives of sleep studies cohort 1 (MASS-C1), which showed an F-measure of 0.70 with a sensitivity of 76.9% and a positive predictive value of 61.2%. The proposed method can reduce the burden of PSG scoring.

, The Japanese Society for Artificial Intelligence, Japanese

心拍変動解析を用いたCPAPの自律神経活動への短期的効果の検証　　　　　　　　　　　　　　　
仲山 千佳夫, 藤原 幸一, 松尾 雅博, 加納 学, 角谷 寛, 日本睡眠学会定期学術集会プログラム・抄録集, 44回, 220, 220, Jun. 2019
(一社)日本睡眠学会, Japanese

ウェーブレット・シンクロスクイージング変換とランダムアンダーサンプリングによる高精度睡眠紡錘波検出アルゴリズムの開発　　　　　　　　　　　　　　　
藤原 幸一, 木下 貴文, 角 幸頼, 松尾 雅博, 角谷 寛, 加納 学, 日本睡眠学会定期学術集会プログラム・抄録集, 44回, 279, 279, Jun. 2019
(一社)日本睡眠学会, Japanese

サポートベクターマシンに基づいた変数重要度による手首アクチグラフによる週末の寝だめ有無の推定および要因検討　　　　　　　　　　　　　　　
後藤 有貴, 藤原 幸一, 角 幸頼, 松尾 雅博, 加納 学, 角谷 寛, 日本睡眠学会定期学術集会プログラム・抄録集, 44回, 284, 284, Jun. 2019
(一社)日本睡眠学会, Japanese

てんかん発作検知・予知に関する最新の研究動向　　　　　　　　　　　　　　　
宮島 美穂, 藤原 幸一, 山川 俊貴, クリニシアン, 66, 637, 40, 45, May 2019, [Peer-reviewed]
Japanese

Analysis of VNS Effect on EEG Connectivity with Granger Causality and Graph Theory
Tsuyoshi Uchida, Koichi Fujiwara, Takao Inoue, Yuichi Maruta, Manabu Kano, Michiyasu Suzuki, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings, 861, 864, 04 Mar. 2019, [Peer-reviewed]

Sleep Apnea Detection by Combining Long Short-Term Memory and Heart Rate Variability
IWASAKI Ayako, NAKAYAMA Chikao, FUJIWARA Koichi, SUMI Yukiyoshi, MATSUO Masahiro, KANO Manabu, KADOTANI Hiroshi, Proceedings of the Annual Conference of JSAI, 2019, 0, 1H4J1303, 1H4J1303, 2019

Sleep apnea syndrome (SAS) is a prevalent disorder which causes daytime fatigue with increased risk of cardiovascular diseases. A large number of patients are undiagnosed and untreated partly because of the difficulty in performing its gold standard test, polysomnography (PSG). In this research, we propose a simple screening method utilizing heart rate variability (HRV) and long short-term memory (LSTM) which is a kind of the neural network techniques. The result of applying this algorithm to clinical data demonstrates that it can discriminate between patients and healthy people with sensitivity (100%) and specificity (100%).

, The Japanese Society for Artificial Intelligence, Japanese

睡眠時無呼吸症候群患者における多変量統計的プロセス管理と心拍変動解析を用いた持続陽圧呼吸療法の自律神経活動への短期的効果の検証　　　　　　　　　　　　　　　
仲山 千佳夫, 藤原 幸一, 松尾 雅博, 角谷 寛, 加納 学, 日本睡眠学会定期学術集会プログラム・抄録集, 43回, 200, 200, Jul. 2018
(一社)日本睡眠学会, Japanese

Causal analysis based on non-time-series kernel Granger causality in a steelmaking process
Ryosuke Sato, Koichi Fujiwara, Masahiro Tani, Junichi Mori, Junji Ise, Kohhei Harada, Manabu Kano, 2017 Asian Control Conference, ASCC 2017, 2018-January, 1778, 1782, 07 Feb. 2018, [Peer-reviewed]
English

心拍数変動解析と多変量統計的プロセス管理を用いたウェアラブルてんかん発作予知システムの開発
山川 俊貴, 宮島 美穂, 藤原 幸一, 加納 学, 鈴木 陽子, 渡辺 裕貴, 渡邊 さつき, 村田 佳子, 星田 徹, 前原 健寿, てんかん研究, 35, 3, 730, 730, Jan. 2018, [Peer-reviewed]
(一社)日本てんかん学会, Japanese

ウェアラブルデバイスとスマートフォンを用いたてんかん発作予知技術
藤原 幸一, 宮島 美穂, 山川 俊貴, Epilepsy: てんかんの総合学術誌, 11, 2, 75, 81, Nov. 2017
メディカルレビュー社, Japanese

ヘルスモニタリングのための心拍変動解析
藤原 幸一, システム/制御/情報, 61, 9, 381, 386, Sep. 2017, [Peer-reviewed], [Invited]
Japanese

多変量統計的プロセス管理と心拍変動解析を用いたてんかん発作予知技術の開発
藤原幸一, 宮島美穂, 鈴木陽子, 山川俊貴, 加納学, 計測と制御, 56, 7, 526, 529, Jul. 2017, [Peer-reviewed], [Invited]
Japanese

SoftsensorBuilder : Tool for Supporting Soft Sensor Development
金子弘昌, 金尚弘, 藤原幸一, 化学工学, 80, 12, 773, 775, Dec. 2016, [Invited]
化学工学会, Japanese

Health Monitoring Service Based on a Wearable Device
藤原 幸一, 化学工学,, 80, 2, 91, 95, Feb. 2016, [Invited]
化学工学会, Japanese

てんかんの心臓自律神経モニタリング 心拍変動モニタリングによるてんかん発作早期検出の試み　　　　　　　　　　　　　　　
宮島 美穂, 藤原 幸一, 山川 俊貴, 笹井 妙子, 加納 学, 前原 健寿, 笹野 哲郎, 太田 克也, 松浦 雅人, 松島 英介, 臨床神経生理学, 43, 5, 337, 337, Oct. 2015
(一社)日本臨床神経生理学会, Japanese

てんかんの心臓自律神経モニタリング ウェアラブルな心拍変動モニタリングシステムの開発　　　　　　　　　　　　　　　
山川 俊貴, 宮島 美穂, 藤原 幸一, 阿部 恵理花, 鈴木 陽子, 澤田 由梨子, 加納 学, 渡辺 裕貴, 前原 健寿, 臨床神経生理学, 43, 5, 337, 337, Oct. 2015, [Peer-reviewed]
(一社)日本臨床神経生理学会, Japanese

音楽による気分変化と、その生理指標変化
松尾 雅博, 増田 史, 角 幸頼, 藤原 幸一, 森島 守人, 山木 清志, 山田 尚登, 角谷 寛, 臨床神経生理学, 43, 5, 445, 445, Oct. 2015
(一社)日本臨床神経生理学会, Japanese

Efficient wavenumber selection based on nearest correlation Louvain method for NIR calibration modeling
Taku Uchimaru, Koji Hazama, Koichi Fujiwara, Manabu Kano, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, 08 Sep. 2015, [Peer-reviewed]

Calibration model design based on weighted nearest correlation spectral clustering
Koichi Fujiwara, Manabu Kano, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, 08 Sep. 2015, [Peer-reviewed]

Development of Epileptic Seizure Prediction Algorithm using One Class SVM
Fujiwara Koichi, Suzuki Yoko, Miyajima Miho, Yamakawa Toshitaka, Kano Manabu, Proceedings of the Japan Joint Automatic Control Conference, 57th, ROMBUNNO.2D08-2, 1570, 10 Nov. 2014
てんかん患者は，てんかん発作によって事故を起こしたり怪我を負うことがあるが，発作起始前にアラームを発報できれば，患者は身を守ることができると期待される．一方，心拍間隔は自然にゆらぎがあり，これを心拍変動（HRV）と呼ぶが，てんかん発作はHRVに影響するため，HRVを解析することで発作兆候を検出できる可能性がある．そこで本研究は，HRVと異常検出手法であるOne Class SVMに基づいたてんかん発作兆候監視アルゴリズムを提案する．提案法を臨床データに適用した結果，発作起始の1分前に発作兆候を検出することができた．, The Japan Joint Automatic Control Conference, Japanese

Epileptic seizure monitoring by One-Class Support Vector Machine
Koichi Fujiwara, Erika Abe, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, 12 Feb. 2014, [Peer-reviewed]

Real-time heart rate variability monitoring employing a wearable telemeter and a smartphone
Toshitaka Yamakawa, Koichi Fujiwara, Miho Miyajima, Erika Abe, Manabu Kano, Yuichi Ueda, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, 12 Feb. 2014, [Peer-reviewed]

心拍変動解析と多変量統計的プロセス管理によるドライバの眠気検出
阿部恵里花, 藤原幸一, 平岡敏洋, 山川俊貴, 加納学, 人間工学, 50, 2014
Japanese

Analysis of Changes in HRV of Epileptic Patients in Preictal Period
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Masato Matsuura, The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 51, R, 198-R-198, Jul. 2013, [Peer-reviewed]
Japanese Society for Medical and Biological Engineering, English

Development of a wearable HRV telemetry system to be operated by non-experts in daily life
Toshitaka Yamakawa, Koichi Fujiwara, Manabu Kano, Miho Miyajima, Yoko Suzuki, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, 2013, [Peer-reviewed]
English

Heart rate variability features for epilepsy seizure prediction
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, 2013, [Peer-reviewed]

Feature extraction of heart rate variability for epileptic seizure
Yoko Suzuki, Hirotsugu Hashimoto, Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima, Proceedings of the SICE Annual Conference, 1713, 1715, 2013, [Peer-reviewed]
English

Efficient input variable selection for calibration model design
Koichi Fujiwara, Manabu Kano, 2013 9th Asian Control Conference, ASCC 2013, 2013, [Peer-reviewed]
English

局所PLSを用いた多品種バッチプロセスの製品品質推定
北川裕一, 河野浩司, 真子秀樹, 藤原幸一, 加納学, 長谷部伸治, 化学工学会秋季大会研究発表講演要旨集(CD-ROM), 42nd, ROMBUNNO.B121, 41, 06 Aug. 2010
公益社団法人 化学工学会, Japanese

変数間の相関関係に基づいたクラスタリング手法の開発とソフトセンサへの応用
藤原幸一, 加納学, 長谷部伸治, 化学工学会秋季大会研究発表講演要旨集(CD-ROM), 41st, S201, 574, 16 Aug. 2009
公益社団法人 化学工学会, Japanese

Correlation-based pattern recognition and its application to adaptive soft-sensor design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe, IFAC Proceedings Volumes (IFAC-PapersOnline), 7, PART 1, 661, 666, 2009, [Peer-reviewed]
English

変数間の相関に着目したクラスタリング手法およびその多変量統計モデリングへの利用
向井洋介, 藤原幸一, 加納学, 長谷部伸治, 化学工学会秋季大会研究発表講演要旨集(CD-ROM), 40th, K302, 499, 24 Aug. 2008
公益社団法人 化学工学会, Japanese

相関型Just‐In‐Timeモデリングの化学プロセスへの適用
藤原幸一, 加納学, 長谷部伸治, 滝波明敏, システム制御情報学会研究発表講演会講演論文集(CD-ROM), 52nd, 677, 678, 16 May 2008
Japanese

プロセス特性変化に着目した相関型Just‐In‐Timeモデリングによるソフトセンサ設計
藤原幸一, 加納学, 長谷部伸治, 化学工学会年会研究発表講演要旨集, 73rd, 270, 277, 17 Feb. 2008
公益社団法人 化学工学会, Japanese

Development of a new pattern recognition method and its application to just-in-time modeling
Koichi Fujiwara, Yosuke Mukai, Manabu Kano, Shinji Hasebe, AIChE Annual Meeting, Conference Proceedings, 688b, 2008, [Peer-reviewed]
English

Correlation-Based Just-In-Time Modeling for Soft-Sensor Design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe, 18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 25, 471, 476, 2008, [Peer-reviewed]
English

Modeling and optimization of batch process through wavelet analysis and multivariate analysis
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno, IFAC Proceedings Volumes (IFAC-PapersOnline), 40, 5, 99, 104, 2007, [Peer-reviewed]
English

ウェーブレット解析と多変量解析を用いたバッチプロセス操作プロファイルの最適化
藤原幸一, 加納学, 長谷部伸治, 大野弘, 化学工学会秋季大会研究発表講演要旨集(CD-ROM), 38th, S125, 820, 16 Aug. 2006
公益社団法人 化学工学会, Japanese

Operation profile optimization for batch process through wavelet analysis and multivariate analysis
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno, 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2810, +, 2006, [Peer-reviewed]
English

統計的品質改善のための枠組み
加納学, 藤原幸一, 長谷部伸治, システム制御情報学会研究発表講演会講演論文集, 49th, 409, 410, 18 May 2005
Japanese

Data-Driven Approach for Improving Product Yield
Koichi Fujiwara, Manabu Kano, Shinji Hasebe, Hiromu Ohno, The 10th Asian Pacific Confederation of Chemical Engineering, 2004, 188, 188, 2004, [Peer-reviewed]
A data-driven methodology for improving product yield by integrating principal component analysis (PCA) and liner discriminant analysis (LDA) is proposed. Referred to as Data-Driven Quality Improvement (DDQI), the proposed method can cope with qualitative as well as quantitative quality variables, determine the operating conditions that can achieve the desired product quality, optimize the operating condition under various constraints, and also evaluate the validity of the results. The relationship between product quality and operating conditions can be modeled by PCR when quality variables are quantitative. On the other hand, LDA can be used for modeling when quality variables are qualitative, e.g., good or bad. For such a qualitative quality variable, the yield, that is the percentage of good products to all products, can be specified on the basis of histograms for given categories. The histograms can be obtained from operation data, and they can be drawn against the axis defined by LDA. Once the desired yield is specified, the operating condition that can achieve the desired yield can be determined. The usefulness of the proposed method is demonstrated through a case study., The Society of Chemical Engineers, Japan, English

Data-driven approach for product quality/yield improvement: How to specify target of qualitative quality variables
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno, AIChE Annual Meeting, Conference Proceedings, 429c, 7727, 2004, [Peer-reviewed]
English

主成分回帰を用いた製品品質・歩留り改善のための最適運転条件推定法
藤原幸一, 加納学, 長谷部伸治, 大野弘, システム制御情報学会研究発表講演会講演論文集, 48th, 385, 386, 2004
Japanese

スモールデータ解析と機械学習
藤原, 幸一(工学)
オーム社, Feb. 2022, 9784274227783, xi, 282p, Japanese

次世代医療AI : 生体信号を介した人とAIの融合
藤原, 幸一(工学), 久保, 孝富, 山川, 俊貴, 伊藤, 健史, 中野, 高志, 吉本, 潤一郎, 松尾, 剛行, 藤田, 卓仙, 桐山, 瑶子
コロナ社, Jul. 2021, 9784339033816, x, 257p, Japanese

AI model for predicting postoperative pain exacerbation using a wearable electrocardiogram sensor and an intravenous patient-controlled analgesia device
NAKANISHI Toshiyuki, FUJIWARA Koichi, SENTO Yoshiki, SOBUE Kazuya
Proceedings of the Annual Conference of JSAI, 2023, The Japanese Society for Artificial Intelligence, Japanese
2023 - 2023, There is a need to develop objective and real-time postoperative pain assessment methods in perioperative medicine. Few studies have evaluated the relationship between pain severity and temporal changes of physiological signals in actual postoperative patients. The aim of the study was to evaluate postoperative pain continuously and to predict pain exacerbation in real-time. We focused on intravenous patient-controlled analgesia (IV-PCA), a common analgesic modality utilized in post-surgical patients. We chose an electrocardiogram (ECG) as a feature to detect pain exacerbation. We developed a machine learning model which was trained from IV-PCA records and ECG of postoperative patients to predict pain exacerbation. A self-attentive autoencoder (SA-AE) model achieved 54% of sensitivity and a 1.76 times/h of false positive rate. In summary, we propose a novel pain evaluation method using an IV-PCA device. According to the current findings, ECG features may be used to predict postoperative pain exacerbation in real-time.

Nearest Neighbor Search-Based Modification of RRI Data with Premature Atrial Contraction and Premature Ventricular Contraction　　　　　　　　　　　　　　　
Sifeng Chen, Shota Kato, Koichi Fujiwara, Manabu Kano
2023 SICE INTERNATIONAL SYMPOSIUM ON CONTROL SYSTEMS, SICE ISCS, 2023, English
2023 - 2023

レム睡眠行動障害におけるデルタ・ガンマ帯域パワー値の増大は夢内容行動化と関連する　　　　　　　　　　　　　　　
伊達 俊坪, 藤原 幸一, 角 幸頼, 角谷 寛, 今井 眞, 小川 景子
日本睡眠学会定期学術集会プログラム・抄録集, Jun. 2022, (一社)日本睡眠学会, Japanese
Jun. 2022 - Jun. 2022

睡眠脳波に基づく日中の疲労と眠気の鑑別に関する調査　　　　　　　　　　　　　　　
藤原 幸一, 後藤 有貴, 角 幸頼, 加納 学, 角谷 寛
日本睡眠学会定期学術集会プログラム・抄録集, Sep. 2021, (一社)日本睡眠学会, Japanese
Sep. 2021 - Sep. 2021

SST-RUSを用いた睡眠脳波解析による異なる音環境下でのスピンドル出現の評価　　　　　　　　　　　　　　　
小枝 正汰, 藤原 幸一, 木下 貴文, 角 幸頼, 角谷 寛, 山木 清志, 森島 守人, 川嶋 隆宏
日本睡眠学会定期学術集会プログラム・抄録集, Sep. 2021, (一社)日本睡眠学会, Japanese
Sep. 2021 - Sep. 2021

畳み込みニューラルネットワークを用いた睡眠時無呼吸症候群スクリーニング　　　　　　　　　　　　　　　
王 歩雲, 岩崎 絢子, 藤原 幸一, 永元 哲治, 角 幸頼, 加納 学, 井関 邦敏, 名嘉村 博, 角谷 寛
日本睡眠学会定期学術集会プログラム・抄録集, Sep. 2021, (一社)日本睡眠学会, Japanese
Sep. 2021 - Sep. 2021

医学と工学の垣根を越えた医療AI開発　　　　　　　　　　　　　　　
藤原幸一
マイクロソフトDeep Learning Lab Healthcare Day 2021 ~医療 x AI への参入障壁を乗り越える~, 20 Feb. 2021, Japanese, Public discourse
[Invited]

Preliminary Study Using Autoencoder for Early Detection of Heat Illness from Heart Rate Variability Obtained with Wearable Device.
Nao Inatsu, Aoi Noguchi, Koshi Ota, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa
APSIPA ASC, 2021
2021 - 2021

A Focal-Origin Bilateral Tonic-clonic Seizure Detection Algorithm Based on AI Analysis of Heart Rate Variability　　　　　　　　　　　　　　　
芹野真郷, 宮島美穂, 藤原幸一, 鈴木陽子, 加納学, 稲次基希, 橋本聡華, 中里信和, 神一敬, 星田徹, 澤井康子, 渡辺裕貴, 山本信二, 岩崎真樹, 前原健寿
てんかん研究, 2021
2021 - 2021

レム睡眠行動障害研究の進歩 レム睡眠行動障害の自律神経障害
角 幸頼, 松尾 雅博, 尾関 祐二, 仲山 千佳夫, 藤原 幸一, 角谷 寛
臨床神経生理学, Oct. 2020, (一社)日本臨床神経生理学会, Japanese
Oct. 2020 - Oct. 2020

レム睡眠行動障害研究の進歩 レム睡眠行動障害の自律神経障害
角 幸頼, 松尾 雅博, 尾関 祐二, 仲山 千佳夫, 藤原 幸一, 角谷 寛
臨床神経生理学, Oct. 2020, (一社)日本臨床神経生理学会, Japanese
Oct. 2020 - Oct. 2020

AI/IoTによるソーシャルディスンス社会におけるヒトのセンシング　　　　　　　　　　　　　　　
藤原幸一
名古屋大学高等研究院ウェビナー, 02 Jun. 2020, Public discourse
[Invited]

IoTシステム設計において考慮すべきこと　　　　　　　　　　　　　　　
藤原幸一
化学工学会第51回Continuing Educationシリーズ講習, 21 Jan. 2020, Public discourse
[Invited]

レム睡眠行動障害の自律神経障害　　　　　　　　　　　　　　　
角幸頼, 松尾雅博, 尾関祐二, 仲山千佳夫, 藤原幸一, 角谷寛
臨床神経生理学(Web), 2020
2020 - 2020

Development of Sleep Spindle Detection Algorithm by Combining Synchrosqueezed Wavelet Transform and RUSBoost　　　　　　　　　　　　　　　
藤原幸一, 木下貴文, 角幸頼, 松尾雅博, 小川景子, 加納学, 角谷寛
人工知能学会全国大会(Web), 2020
2020 - 2020

Views of patients with epilepsy on wearable seizure prediction system; impact of two different type of devices on sleep quality
M. Miyajima, T. Yamakawa, K. Fujiwara, T. Seki, T. ohno, M. Iimori, M. Inaji, H. Osoegawa, M. Kano, T. Maehara
Sleep Medicine, Dec. 2019, Elsevier {BV}, English
Dec. 2019 - Dec. 2019

新たなてんかんケアの可能性～てんかん発作予知システムの開発　　　　　　　　　　　　　　　
藤原 幸一
名古屋大学医学部市民公開講座, 01 Dec. 2019, Japanese, Invited oral presentation
[Invited], [Domestic Conference]

医療AI開発とその活用 〜てんかん発作予知を例に　　　　　　　　　　　　　　　
藤原 幸一
第39回医療情報学連合大会企画カンファレンス, 22 Nov. 2019, English, Nominated symposium
[Invited], [Domestic Conference]

人工知能で測れないものを測る　　　　　　　　　　　　　　　
藤原 幸一
天白高校・出前授業, 07 Nov. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

医師患者関係のトラスト構築に向けたAI活用の可能性　　　　　　　　　　　　　　　
藤田 卓仙, 江間 有沙, 近藤 諭, 藤原 幸一, 中谷内 一也, 尾藤 誠司
医療情報学連合大会論文集, Nov. 2019, (一社)日本医療情報学会, Japanese
Nov. 2019 - Nov. 2019

心拍変動解析を用いたてんかん発作予知・検知技術の開発　　　　　　　　　　　　　　　
藤原 幸一
名古屋大・聖隷浜松合同カンファレンス, 05 Oct. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

Closed-Loop てんかんケアの実現に向けたてんかん発作予知アルゴリズムの開発　　　　　　　　　　　　　　　
藤原 幸一
電子情報通信学会ソサイエティ大会, 12 Sep. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

てんかん患者におけるウェアラブル自律神経機能モニタリングの試み てんかん突然死のリスク評価を目指し　　　　　　　　　　　　　　　
宮島 美穂, 山川 俊貴, 藤原 幸一, 関 拓哉, 稲次 基希, 橋本 聡華, 岩崎 真樹, 長綱 敏和, 藤井 正美, 山本 信二, 加納 学, 前原 健寿
てんかん研究, Sep. 2019, (一社)日本てんかん学会, Japanese
Sep. 2019 - Sep. 2019

AI/IoT を活用した新たなてんかん治療法の開発　　　　　　　　　　　　　　　
藤原 幸一
名古屋大学医学部脳とこころの研究センタ・サマースクール, 17 Jul. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

医学における AI の活用てんかん・睡眠障害を例に　　　　　　　　　　　　　　　
藤原 幸一
東京医科歯科大学脳機能外科セミナー, 02 Jul. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

Development of a Sleep Apnea Detection Algorithm Using Long Short-Term Memory and Heart Rate Variability.
Ayako Iwasaki, Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Jul. 2019, English
Jul. 2019 - Jul. 2019, Sleep apnea syndrome (SAS) is a prevalent disorder which causes daytime fatigue with the increased risk of lifestyle diseases. A large number of patients are undiagnosed and untreated partly because of the difficulty in performing its gold standard test, polysomnography (PSG). In this research, we propose a simple screening method utilizing heart rate variability (HRV) and long short-term memory (LSTM) which is a kind of neural network techniques. The result of applying this algorithm to clinical data demonstrates that it can discriminate between patients and healthy people with high sensitivity (100%) and specificity (100%).

医療AI人材とか何か〜てんかん・睡眠障害のモニタリングAIの開発を例に　　　　　　　　　　　　　　　
藤原 幸一
日本睡眠学会医師向けセミナー, 27 Jun. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

心拍変動解析を用いたCPAPの自律神経活動への短期的効果の検証　　　　　　　　　　　　　　　
仲山 千佳夫, 藤原 幸一, 松尾 雅博, 加納 学, 角谷 寛
日本睡眠学会定期学術集会プログラム・抄録集, Jun. 2019, (一社)日本睡眠学会, Japanese
Jun. 2019 - Jun. 2019

ウェーブレット・シンクロスクイージング変換とランダムアンダーサンプリングによる高精度睡眠紡錘波検出アルゴリズムの開発　　　　　　　　　　　　　　　
藤原 幸一, 木下 貴文, 角 幸頼, 松尾 雅博, 角谷 寛, 加納 学
日本睡眠学会定期学術集会プログラム・抄録集, Jun. 2019, (一社)日本睡眠学会, Japanese
Jun. 2019 - Jun. 2019

サポートベクターマシンに基づいた変数重要度による手首アクチグラフによる週末の寝だめ有無の推定および要因検討　　　　　　　　　　　　　　　
後藤 有貴, 藤原 幸一, 角 幸頼, 松尾 雅博, 加納 学, 角谷 寛
日本睡眠学会定期学術集会プログラム・抄録集, Jun. 2019, (一社)日本睡眠学会, Japanese
Jun. 2019 - Jun. 2019

MATLABを用いた医療機器ソフトウェア開発心拍変動解析とてんかん発作予知　　　　　　　　　　　　　　　
藤原 幸一
MATALB Expo 2019, 28 May 2019, English, Public discourse
[Invited], [Domestic Conference]

若手研究者による講演　　　　　　　　　　　　　　　
藤原 幸一
JSPS卓越研究員事業説明会, 02 Mar. 2019, Japanese, Public discourse
[Invited], [Domestic Conference]

医療×AIシンポジウム -医療×AI推進人材を考える　　　　　　　　　　　　　　　
藤原 幸一
日本マイクロソフトDeep Learning Lab, 10 Feb. 2019, English, Public discourse
[Invited], [Domestic Conference]

手首アクチグラフによる週末の寝だめ有無の推定および変数重要度に基づいた要因検討　　　　　　　　　　　　　　　
後藤有貴, 藤原幸一, 角幸頼, 松尾雅博, 加納学, 角谷寛
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 2019
2019 - 2019

シンクロスクイージングウェーブレット変換とRUSBoostによる睡眠紡錘波検出アルゴリズム　　　　　　　　　　　　　　　
藤原幸一, 木下貴文, 角幸頼, 松尾雅博, 角谷寛, 加納学
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 2019
2019 - 2019

Sleep Apnea Detection by Combining Long Short-Term Memory and Heart Rate Variability
IWASAKI Ayako, NAKAYAMA Chikao, FUJIWARA Koichi, SUMI Yukiyoshi, MATSUO Masahiro, KANO Manabu, KADOTANI Hiroshi
Proceedings of the Annual Conference of JSAI, 2019, The Japanese Society for Artificial Intelligence, Japanese
2019 - 2019,

Sleep apnea syndrome (SAS) is a prevalent disorder which causes daytime fatigue with increased risk of cardiovascular diseases. A large number of patients are undiagnosed and untreated partly because of the difficulty in performing its gold standard test, polysomnography (PSG). In this research, we propose a simple screening method utilizing heart rate variability (HRV) and long short-term memory (LSTM) which is a kind of the neural network techniques. The result of applying this algorithm to clinical data demonstrates that it can discriminate between patients and healthy people with sensitivity (100%) and specificity (100%).

スモールデータ解析でAIに勝つ〜データ解析を活用した医療機器開発　　　　　　　　　　　　　　　
藤原 幸一
ものづくり企業に役立つ応用数理手法の研究会, 12 Dec. 2018, Japanese, Public discourse
[Invited]

Analysis of VNS Effect on EEG Connectivity with Granger Causality and Graph Theory　　　　　　　　　　　　　　　
T. Uchida, K. Fujiwara, T. Inoue, Y. Maruta, M. Kano, M. Suzuki
APSIPA ASC 2018, Nov. 2018, English
Nov. 2018 - Nov. 2018

ウェアラブル心拍変動センサを用いたてんかん発作予測システムの開発　　　　　　　　　　　　　　　
藤原 幸一
第52回日本てんかん学会学術集会, 27 Oct. 2018, English, Nominated symposium
[Invited], [Domestic Conference]

スモールデータでAIに勝つ～てんかん発作予知を例に　　　　　　　　　　　　　　　
藤原 幸一
鉄鋼協会産学若手交流セミナー, 08 Sep. 2018, English, Public discourse
[Invited], [Domestic Conference]

睡眠時無呼吸症候群患者における多変量統計的プロセス管理と心拍変動解析を用いた持続陽圧呼吸療法の自律神経活動への短期的効果の検証　　　　　　　　　　　　　　　
仲山 千佳夫, 藤原 幸一, 松尾 雅博, 角谷 寛, 加納 学
日本睡眠学会定期学術集会プログラム・抄録集, Jul. 2018, (一社)日本睡眠学会, Japanese
Jul. 2018 - Jul. 2018

Denoising Autoencoder-based Modification of RRI data with Premature Ventricular Contraction for Precise Heart Rate Variability Analysis　　　　　　　　　　　　　　　
S. Miyatani, K. Fujiwara, M. Kano
IEEE EMBC 2018, Jul. 2018, English
Jul. 2018 - Jul. 2018

RRI Modification by Integrating of the Combination of Singular Spectrum Analysis and Denoising Autoencoder and its Application to Open Data
宮谷将太, 藤原幸一, 加納学
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 16 May 2018, Japanese
16 May 2018 - 16 May 2018

Optimization of channel structure and operating condition of neuroprotective focal brain cooling device
阿部拓斗, 井上貴雄, 藤原幸一, 野村貞宏, 井本浩哉, 鈴木倫保, 加納学
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 16 May 2018, Japanese
16 May 2018 - 16 May 2018

Design of false heart rate feedback system for improving game experience
Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Erika Abe, Manabu Kano
2018 IEEE International Conference on Consumer Electronics, ICCE 2018, 26 Mar. 2018, English
26 Mar. 2018 - 26 Mar. 2018

Accurate softsensor development by nearest corrleation based-variable weighting
藤原幸一, 加納学
計測自動制御学会制御部門マルチシンポジウム(CD-ROM), 08 Mar. 2018, Japanese
08 Mar. 2018 - 08 Mar. 2018

Comparison of causal inference methods for time series data of nonlinear systems
和田拓也, 藤原幸一, 加納学
計測自動制御学会制御部門マルチシンポジウム(CD-ROM), 08 Mar. 2018, Japanese
08 Mar. 2018 - 08 Mar. 2018

Causal analysis based on non-time-series kernel Granger causality in a steelmaking process
Ryosuke Sato, Koichi Fujiwara, Masahiro Tani, Junichi Mori, Junji Ise, Kohhei Harada, Manabu Kano
2017 Asian Control Conference, ASCC 2017, 07 Feb. 2018, English
07 Feb. 2018 - 07 Feb. 2018

CFD-Based Design of Focal Brain Cooling System for Suppressing Epileptic Seizures
Kei Hata, Takuto Abe, Takao Inoue, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki, Manabu Kano
Computer Aided Chemical Engineering, 01 Jan. 2018
01 Jan. 2018 - 01 Jan. 2018

Generalized epileptic seizure prediction based on HRV analysis and its mechanism consideration
SAKANE FUMIYA, Fujiwara Koichi, Miyajima Miho, Suzuki Yoko, Yamakawa Toshitaka, Kano Manabu, Maehara Taketoshi
Transactions of Japanese Society for Medical and Biological Engineering, 2018, Japanese Society for Medical and Biological Engineering, Japanese
2018 - 2018, <p>The present study aims to predict generalized seizures based on heart rate variability (HRV) analysis and multivariate statistical process control (MSPC). We applied the existing anomaly monitoring algorithm, i.e. HRV-based MSPC developed by Fujiwara et al. to 17 pre-ictal episodes and 74 inter-ictal episodes whose total length were about 63 hours. Consequently, the sensitivity and the false positive rate were 76.5% and 1.39 times per hour respectively, and the proportion of duration under false alarms was 5.96%. These results suggest that generalized seizures may be predicted by analyzing HRV. Based on the previous research, we hypothesize that the change in the autonomic nervous activity induce generalized epileptic seizures.</p>

心拍数変動解析と多変量統計的プロセス管理を用いたウェアラブルてんかん発作予知システムの開発　　　　　　　　　　　　　　　
山川 俊貴, 宮島 美穂, 藤原 幸一, 加納 学, 鈴木 陽子, 渡辺 裕貴, 渡邊 さつき, 村田 佳子, 星田 徹, 前原 健寿
てんかん研究, Jan. 2018, (一社)日本てんかん学会, Japanese
Jan. 2018 - Jan. 2018

睡眠時無呼吸症候群患者における持続陽圧呼吸療法の心拍への短期的効果
藤原幸一, 仲山千佳夫, 松尾雅博, 加納学, 角谷寛
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 25 Nov. 2017, Japanese
25 Nov. 2017 - 25 Nov. 2017

心拍変動解析と多変量統計的プロセス管理による全般性てんかん発作予測
坂根史弥, 藤原幸一, 宮島美穂, 鈴木陽子, 山川俊貴, 加納学, 前原健寿
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 25 Nov. 2017, Japanese
25 Nov. 2017 - 25 Nov. 2017

次第に速くなる心拍音提示によるゲーム体験の向上
小川紗也加, 藤原幸一, 山川俊貴, 阿部恵里花, 加納学
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 25 Nov. 2017, Japanese
25 Nov. 2017 - 25 Nov. 2017

中大脳動脈閉塞ラットモデルを用いた心拍変動解析による脳卒中早期検知システム実現性の検証
藤原幸一, 鎌田啓輔, 児玉智信, 加納学, 村山雄一, 結城一郎
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 25 Nov. 2017, Japanese
25 Nov. 2017 - 25 Nov. 2017

リアルタイム心拍変動解析を用いたヘルスモニタリング　　　　　　　　　　　　　　　
藤原 幸一
京都大学テックフォーラム, 06 Nov. 2017, English, Public discourse
[Invited], [Domestic Conference]

心拍変動を用いた入眠検出　　　　　　　　　　　　　　　
藤原 幸一
第24回日本時間生物学会学術大会シンポジウム, 29 Oct. 2017, Japanese, Nominated symposium
[Invited], [Domestic Conference]

Validation of HRV-Based Drowsy-Driving Detection Method with EEG Sleep Stage Classification　　　　　　　　　　　　　　　
T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani
Proc. of World Sleep Congress, Oct. 2017, English
Oct. 2017 - Oct. 2017

てんかん発作抑制を目指した局所脳冷却システムの設計
畑啓, 藤原幸一, 加納学, 井上貴雄, 野村貞宏, 井本浩哉, 鈴木倫保
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 20 Sep. 2017, Japanese
20 Sep. 2017 - 20 Sep. 2017

A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model
Tomonobu Kodata, Keisuke Kamata, Koichi Fujiwara, Manabu Kano, Toshiki Yamakawa, Ichiro Yuki, Yuichi Murayama
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 13 Sep. 2017, English
13 Sep. 2017 - 13 Sep. 2017

Design of focal brain cooling system for suppressing epileptic seizures
Kei Hata, Koichi Fujiwara, Manabu Kano, Takao Inoue, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 13 Sep. 2017, English
13 Sep. 2017 - 13 Sep. 2017

心拍変動解析と機械学習を用いたてんかんアラーム〜スモールデータ解析でAIに勝つ,　　　　　　　　　　　　　　　
藤原 幸一
市村学術賞受賞記念講演, 06 Sep. 2017, English, Invited oral presentation
[Invited], [Domestic Conference]

人と人をつなぐテクノロジ　　　　　　　　　　　　　　　
藤原 幸一
七尾市青年会議所公開授業, 05 Sep. 2017, Japanese, Public discourse
[Invited], [Domestic Conference]

Development of correlation-based process characteristics visualization method and its application to fault detection
Koichi Fujiwara, Manabu Kano
IEEE International Conference on Control and Automation, ICCA, 04 Aug. 2017, English
04 Aug. 2017 - 04 Aug. 2017

心拍変動解析と多変量統計的プロセス管理に基づく全般性てんかん発作予測
坂根史弥, 藤原幸一, 宮島美穂, 鈴木陽子, 山川俊貴, 加納学, 前原健寿
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 23 May 2017, システム制御情報学会, Japanese
23 May 2017 - 23 May 2017

熱中症アラーム開発の取り組み - 2020年に向けて　　　　　　　　　　　　　　　
藤原 幸一
鹿児島県西之表市「スマートエコアイランド種子島」シンポジウム, 08 Mar. 2017, Japanese, Public discourse
[Invited], [Domestic Conference]

報道と研究 - 現場から　　　　　　　　　　　　　　　
藤原 幸一
新聞労連研修会, 21 Jan. 2017, Japanese, Nominated symposium
[Domestic Conference]

Canine emotional states assessment with heart rate variability
Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara, Miho Nagasawa, Takefumi Kikusui, Kazushi Ikeda
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, 17 Jan. 2017, Institute of Electrical and Electronics Engineers Inc., English
17 Jan. 2017 - 17 Jan. 2017

リアルタイム心拍変動解析技術を用いたドライバ状態推定 – 発作・居眠り運転による事故を防ぐ　　　　　　　　　　　　　　　
藤原 幸一
CEATEC JAPAN 2016 自動運転コンファレンス企画, 07 Oct. 2016, Japanese, Keynote oral presentation
[Invited], [Domestic Conference]

Wakefulness keeping support system for drivers based on game using body movement and voice input command　　　　　　　　　　　　　　　
T. Hiraoka, T. Ibe, E. Abe, K. Fujiwara, T. Yamakawa
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug. 2016
Aug. 2016 - Aug. 2016

Application of Process Data Analysis Techniques to Health Monitoring Device Development　　　　　　　　　　　　　　　
Kouichi Fujiwara
PSE Asia2016, 26 Jul. 2016, English, Oral presentation
[Invited], [International presentation]

産業分野におけるデータ解析事例から眺める医療データ標準フォーマット化への期待　　　　　　　　　　　　　　　
藤原 幸一
日本睡眠学会定期学術集会, 08 Jul. 2016, English, Nominated symposium
[Invited], [Domestic Conference]

Analysing Effect of VNS on EEG Connectivity by Using Granger Causality and Graph Theory
内田 剛志, 藤原 幸一, 井上 貴雄, 丸田 雄一, 加納 学, 鈴木 倫保
システム制御情報学会研究発表講演会講演論文集, 25 May 2016, システム制御情報学会, Japanese
25 May 2016 - 25 May 2016

Blood Volume Change Estimation by Using Surface-Type Photoplethysmography Sensors
小川 紗也加, 藤原 幸一, 千明 裕, 山川 俊貴, 加納 学, 渡部 智樹
システム制御情報学会研究発表講演会講演論文集, 25 May 2016, システム制御情報学会, Japanese
25 May 2016 - 25 May 2016

Development of a missing RRI interpolation method based on Locally-Weighted Partial Least Squares Regression and its application to RRI data collected from healthy persons
鎌田 啓輔, 藤原 幸一, 加納 学, 山川 俊貴
システム制御情報学会研究発表講演会講演論文集, 25 May 2016, システム制御情報学会, Japanese
25 May 2016 - 25 May 2016

Development of nonnegative matrix factorization-based personal adaptation method and its application to sleepiness detection model
阿部 恵里花, 藤原 幸一, 加納 学
システム制御情報学会研究発表講演会講演論文集, 25 May 2016, システム制御情報学会, Japanese
25 May 2016 - 25 May 2016

心拍変動（HRV）解析を用いたヘルスモニタサービスの開発　　　　　　　　　　　　　　　
藤原 幸一
JST 京都大学新技術説明会, 24 May 2016, Japanese, Public discourse
[Invited], [Domestic Conference]

プロセス異常検出技術によるてんかん発作予知の実現
藤原幸一, 阿部恵里花, 加納学, 山川俊貴, 澤田由梨子, 鈴木陽子, 宮島美穂
化学工学会年会研究発表講演要旨集(CD-ROM), 13 Mar. 2016, Japanese
13 Mar. 2016 - 13 Mar. 2016

てんかん発作抑制を目指した局所脳冷却デバイスの設計
畑慶, 藤原幸一, 加納学, 井上貴雄, 野村貞宏, 井本浩哉, 鈴木倫保
化学工学会年会研究発表講演要旨集(CD-ROM), 13 Mar. 2016, Japanese
13 Mar. 2016 - 13 Mar. 2016

能動的行為を伴うシステムを用いたドライバの覚醒支援　　　　　　　　　　　　　　　
伊部達朗, 平岡敏洋, 阿部恵里花, 藤原幸一, 山川俊貴
情報処理学会研究報告（第39回情報処理学会 エンタテインメントコンピューティング研究会）, Mar. 2016, Japanese
Mar. 2016 - Mar. 2016

脈波センサ埋め込み型ビデオゲームコントローラの開発 (ITS)
阿部 恵里花, 千明 裕, 藤原 幸一
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 22 Feb. 2016, 電子情報通信学会, Japanese
22 Feb. 2016 - 22 Feb. 2016

脈波センサ埋め込み型ビデオゲームコントローラの開発 (マルチメディアストレージ コンシューマエレクトロニクス ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス)
阿部 恵里花, 千明 裕, 藤原 幸一, 加納 学, 山川 俊貴
映像情報メディア学会技術報告 = ITE technical report, Feb. 2016, 映像情報メディア学会, Japanese
Feb. 2016 - Feb. 2016

Development of Photoplethysmogram Sensor-embedded Video Game Controller
Erika Abe, Koichi Fujiwara, Manabu Kano, Hiroshi Chigira, Toshitaka Yamakawa
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2016, IEEE, English
2016 - 2016, If player condition during video game playing could be measured in real time, it would become possible to develop a new game interaction system. Since heart rate (HR) has been used for various psychological condition estimation, it can be used for player condition estimation. In the present work, a new game controller that can measure player HR without letting the player be conscious of the controller based on a photoplethysmogram (PPG) was developed. The experiment result demonstrated that the newly developed game controller could measure the player HR with sufficiently high accuracy.

ウェアラブル心拍数変動センサの開発と臨床・ヘルスケア応用-てんかん発作や居眠り運転事故の「予知」-　　　　　　　　　　　　　　　
山川俊貴, 山川俊貴, 藤原幸一, 平岡敏洋, 加納学, 宮島美穂, 前原健寿, 太田克也, 笹野哲郎, 松浦雅人, 松島英介
電子情報通信学会技術研究報告, 2016
2016 - 2016

運転中の能動的行為によるドライバの覚醒維持効果と運転安全性　　　　　　　　　　　　　　　
伊部達朗, 平岡敏洋, 阿部恵里花, 藤原幸一, 山川俊貴
自動車技術会大会学術講演会講演予稿集(CD-ROM), 2016
2016 - 2016

Individuality Reduction in Heart Rate Variability for Drowsy Driving Detection　　　　　　　　　　　　　　　
Koichi Fujiwara, Erika Abe, Toshitaka Yamakawa, Manabu Kano
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016
2016 - 2016

Real-Time Epileptic Seizure Prediction System Employing a Wearable HRV Telemeter and a Smartphone　　　　　　　　　　　　　　　
Miho Miyajima, Toshitaka Yamakawa, Koichi Fujiwara, Yuriko Sawada, Yoko Suzuki, Erika Abe, Manabu Kano, Satsuki Watanabe, Yoshiko Murata, Yutaka Watanabe, Taketoshi Maehara, Eisuke Matsushima
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016
2016 - 2016

Variable Elimination-Based Contribution for Accurate Fault Identification
Yusuke Satoyama, Koichi Fujiwara, Manabu Kano
IFAC PAPERSONLINE, 2016, English
2016 - 2016

Missing RRI interpolation for HRV analysis using Locally-Weighted Partial Least Squares Regression
Keisuke Kamata, Koichi Fujiwara, Toshiki Yamakawa, Manabu Kano
2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, English
2016 - 2016

心拍変動解析によるウェアラブルてんかん発作兆候検出システムの開発
山川俊貴, 藤原幸一, 阿部恵理花, 加納学, 宮島美穂, 鈴木陽子, 松島英介, 澤田由梨子, 笹野哲郎, 角勇樹, 村田佳子, 渡邊さつき, 渡辺裕貴, 前原健寿, 松浦雅人, 松浦雅人
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 18 Nov. 2015, Japanese
18 Nov. 2015 - 18 Nov. 2015

Development of sleep apnea syndrome screening algorithm by using heart rate variability analysis and support vector machine
Chikao Nakayama, Koichi Fujiwara, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 04 Nov. 2015, English
04 Nov. 2015 - 04 Nov. 2015

心拍変動モニタリングによるてんかん発作早期検出の試み
宮島美穂, 藤原幸一, 山川俊貴, 笹井妙子, 加納学, 前原健寿, 笹野哲郎, 太田克也, 太田克也, 太田克也, 松浦雅人, 松浦雅人, 松島英介
臨床神経生理学, 01 Oct. 2015, Japanese
01 Oct. 2015 - 01 Oct. 2015

ウェアラブルな心拍変動モニタリングシステムの開発
山川俊貴, 宮島美穂, 藤原幸一, 阿部恵理花, 鈴木陽子, 澤田由梨子, 加納学, 渡辺裕貴, 前原健寿
臨床神経生理学, 01 Oct. 2015, Japanese
01 Oct. 2015 - 01 Oct. 2015

音楽による気分変化と,その生理指標変化
松尾雅博, 増田史, 角幸頼, 藤原幸一, 森島守人, 山木清志, 山田尚登, 角谷寛
臨床神経生理学, Oct. 2015, (一社)日本臨床神経生理学会, Japanese
Oct. 2015 - Oct. 2015

Heart rate monitoring on steering wheel using surface type sensor　　　　　　　　　　　　　　　
H. Chigira, T. Hori, K. Fujiwara, T. Hiraoka, T. Tanaka
ITS World Congress, Oct. 2015

ウェアラブル心拍変動センサを用いたてんかん発作兆候検出システムの開発
澤田由梨子, 鈴木陽子, 阿部恵理花, 藤原幸一, 宮島美穂, 山川俊貴, 加納学, 村田佳子, 渡邊さつき, 渡邊裕貴, 前原健寿, 笹野哲郎, 角勇樹, 松島英介, 松浦雅人
てんかん研究, 17 Sep. 2015, Japanese
17 Sep. 2015 - 17 Sep. 2015

心拍変動解析によるヘルスモニタリング　　　　　　　　　　　　　　　
藤原 幸一
自動車技術会シンポジウム「自動車開発における人間工学の理論と実践」, Sep. 2015, Japanese, Public discourse
[Invited], [Domestic Conference]

心拍変動解析を用いた疾患スクリーニング　　　　　　　　　　　　　　　
藤原 幸一
京都大学数理解析研究所共同研究集会, Jul. 2015, English, Invited oral presentation
[Invited], [Domestic Conference]

運転環境と睡眠　　　　　　　　　　　　　　　
藤原 幸一
日本睡眠学会定期学術集会, Jul. 2015, Japanese, Nominated symposium
[Invited], [Domestic Conference]

Efficient Variable Selection Based on Nearest Correlation Louvain Method for Soft-sensor Design
内丸拓, 羽間康至, 藤原幸一, 加納学
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 20 May 2015, システム制御情報学会, Japanese
20 May 2015 - 20 May 2015

Application of support vector machine to heart rate during sleep for sleep apnea syndrome screening
仲山千佳夫, 藤原幸一, 松尾雅博, 加納学, 角谷寛
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 20 May 2015, システム制御情報学会, Japanese
20 May 2015 - 20 May 2015

重み付きNCスペクトラルクラスタリングを用いたソフトセンサの入力変数選択
藤原幸一, 加納学
化学工学会年会研究発表講演要旨集(CD-ROM), 19 Mar. 2015, Japanese
19 Mar. 2015 - 19 Mar. 2015

Calibration Model Design based on Weighted Nearest Correlation Spectral Clustering
Koichi Fujiwara, Manabu Kano
2015 10TH ASIAN CONTROL CONFERENCE (ASCC), 2015, English
2015 - 2015

Efficient Wavenumber Selection Based on Nearest Correlation Louvain Method for NIR Calibration Modeling
Taku Uchimaru, Koji Hazama, Koichi Fujiwara, Manabu Kano
2015 10TH ASIAN CONTROL CONFERENCE (ASCC), 2015, English
2015 - 2015

Nearest Correlation Louvain Method for Fast and Good Selection of Input Variables of Statistical Model
Taku Uchimaru, Koji Hazama, Koichi Fujiwara, Manabu Kano
IFAC PAPERSONLINE, 2015, English
2015 - 2015

Development of Stroke Detection Method by Heart Rate Variability Analysis and Support Vector Machine
Keisuke Kamata, Koichi Fujiwara, Tomonobu Kodama, Manabu Kano, Toshitaka Yamakawa, Norikata Kobayashi, Fuminori Shimizu
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2015, English
2015 - 2015

Heart Rate Monitoring by A Pulse Sensor Embedded Game Controller
Erika Abe, Hiroshi Chigira, Koichi Fujiwarai, Toshitaka Yamakawa, Manabu Kano
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2015, English
2015 - 2015

Accuracy Comparison between Two Microcontroller-embedded R-wave Detection Methods for Heart-rate Variability Analysis
Toshitaka Yamakawa, Ryunosuke Kinoshita, Koichi Fujiwara, Manabu Kano, Miho Miyajima, Tadashi Sakata, Yuichi Ueda
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2015, English
2015 - 2015

リアルタイムてんかん発作兆候監視アルゴリズムおよび監視装置　　　　　　　　　　　　　　　
藤原 幸一
ウェアラブルEXPO, Jan. 2015, Japanese, Public discourse
[Invited], [Domestic Conference]

ウェアラブル心拍センサとスマートフォンを用いたてんかん発作兆候監視システムの開発
藤原幸一, 阿部恵里花, 鈴木陽子, 澤田由梨子, 宮島美穂, 山川俊貴, 笹野哲朗, 加納学, 太田克也, 前原健寿, 松島英介, 松浦雅人
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM), 21 Nov. 2014, Japanese
21 Nov. 2014 - 21 Nov. 2014

Development of Epileptic Seizure Prediction Algorithm using One Class SVM
Fujiwara Koichi, Suzuki Yoko, Miyajima Miho, Yamakawa Toshitaka, Kano Manabu
Proceedings of the Japan Joint Automatic Control Conference, 10 Nov. 2014, The Japan Joint Automatic Control Conference, Japanese
10 Nov. 2014 - 10 Nov. 2014, てんかん患者は，てんかん発作によって事故を起こしたり怪我を負うことがあるが，発作起始前にアラームを発報できれば，患者は身を守ることができると期待される．一方，心拍間隔は自然にゆらぎがあり，これを心拍変動（HRV）と呼ぶが，てんかん発作はHRVに影響するため，HRVを解析することで発作兆候を検出できる可能性がある．そこで本研究は，HRVと異常検出手法であるOne Class SVMに基づいたてんかん発作兆候監視アルゴリズムを提案する．提案法を臨床データに適用した結果，発作起始の1分前に発作兆候を検出することができた．

心拍変動解析を用いたドライバの眠気検出の開発とそのスマートフォンアプリへの実装　　　　　　　　　　　　　　　
阿部恵里花, 藤原幸一, 平岡敏洋, 山川俊貴, 加納学
計測自動制御学会 システム・情報部門学術講演会2014(SSI2014)講演論文集, Nov. 2014, Japanese
Nov. 2014 - Nov. 2014

心拍変動解析と多変量統計的プロセス管理によるドライバの眠気検出
阿部恵里花, 藤原幸一, 平岡敏洋, 山川俊貴, 加納学
日本人間工学会第55回大会講演集, Jun. 2014, Japanese
Jun. 2014 - Jun. 2014

心拍変動解析に基づくてんかん発作兆候モニタリングデバイス　　　　　　　　　　　　　　　
藤原 幸一
国際バイオテクノロジー展, May 2014, Japanese, Public discourse
[Invited], [Domestic Conference]

統計的プロセス管理に基づいたてんかん発作兆候監視アルゴリズムの開発
藤原幸一, 橋本啓嗣, 鈴木陽子, 宮島美穂, 山川俊貴, 加納学
計測自動制御学会制御部門マルチシンポジウム(CD-ROM), 04 Mar. 2014, Japanese
04 Mar. 2014 - 04 Mar. 2014

NIR検量線作成のための効率的な波数選択法の開発とその製剤工程への応用
内丸拓, 宮野拓也, 藤原幸一, 加納学, 田邊秀章, 中川弘司, 渡部知行, 脇山尚樹
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 2014, Japanese
2014 - 2014

Development of Drowsy Driving Accident Prediction by Heart Rate Variability Analysis
Erika Abe, Koichi Fujiwara, Toshihiro Hiraoka, Toshitaka Yamakawa, Manabu Kano
2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014, English
2014 - 2014

Epileptic Seizure Monitoring by One-Class Support Vector Machine
Koichi Fujiwara, Erika Abe, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano
2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014, English
2014 - 2014

Real-Time Heart Rate Variability Monitoring Employing a Wearable Telemeter and a Smartphone
Toshitaka Yamakawa, Koichi Fujiwara, Miho Miyajima, Erika Abe, Manabu Kano, Yuichi Ueda
2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014, English
2014 - 2014

Application of Clustering-based Variable Selection Method for PLS Modeling in Near-Infrared Spectroscopic Spectra　　　　　　　　　　　　　　　
Takuya Miyano, Hiroshi Nakagawa, Koichi Fujiwara, Manabu Kano
AAPS Annual Meeting and Exposition, San Antonio, US, Nov. 2013, English
Nov. 2013 - Nov. 2013

てんかん臨床症状起始前に心拍変動上昇を示した1症例
鈴木陽子, 橋本啓嗣, 藤原幸一, 宮島美穂, 山川俊貴, 加納学, 前原健寿, 太田克也, 笹野哲郎, 松浦雅人, 松島英介
てんかん研究, 30 Sep. 2013, Japanese
30 Sep. 2013 - 30 Sep. 2013

Feature Extraction of Heart Rate Variability Change Prior to Epileptic Seizures　　　　　　　　　　　　　　　
Yoko Suzuki, Hirotsugu Hashimoto, Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
The SICE Annual Conference, Paper MoBT14.16, Nagoya, Japan, Sep. 2013, English
Sep. 2013 - Sep. 2013

Analysis of Changes in HRV of Epileptic Patients in Preictal Period
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Masato Matsuura
The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, Jul. 2013, Japanese Society for Medical and Biological Engineering, English
Jul. 2013 - Jul. 2013

Heart Rate Variability Analysis for Epileptic Seizure Prediction　　　　　　　　　　　　　　　
APSIPA BioSiPS Workshop, 28 Mar. 2013, APSIPA, English, Invited oral presentation
[Invited], [International presentation]

検量線構築におけるNCスペクトラルクラスタリングとgroup Lassoを用いた効率的な波長選択
藤原幸一, 加納学
計測自動制御学会制御部門大会(CD-ROM), 05 Mar. 2013, Japanese
05 Mar. 2013 - 05 Mar. 2013

心拍変動解析を用いたストレス状態の短時間推定
天ケ瀬匡昭, 藤原幸一, 加納学, 山川俊貴
計測自動制御学会制御部門大会(CD-ROM), 05 Mar. 2013, Japanese
05 Mar. 2013 - 05 Mar. 2013

ソフトセンサ構築における変数間の相関関係に基づいた効率的な変数選択手法
藤原幸一, 加納学
化学工学会年会研究発表講演要旨集(CD-ROM), 17 Feb. 2013, Japanese
17 Feb. 2013 - 17 Feb. 2013

Feature extraction of heart rate variability for epileptic seizure
Yoko Suzuki, Hirotsugu Hashimoto, Koichi Fujiwara, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
Proceedings of the SICE Annual Conference, 2013, English
2013 - 2013

Efficient input variable selection for calibration model design
Koichi Fujiwara, Manabu Kano
2013 9th Asian Control Conference, ASCC 2013, 2013, English
2013 - 2013

Heart Rate Variability Features for Epilepsy Seizure Prediction
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
2013 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2013, English
2013 - 2013

Development of a Wearable HRV Telemetry System to be Operated by Non-Experts in Daily Life
Toshitaka Yamakawa, Koichi Fujiwara, Manabu Kano, Miho Miyajima, Yoko Suzuki, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
2013 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2013, English
2013 - 2013

Epileptic seizure monitoring by using multivariate statistical process control
Hirotsugu Hashimoto, Koichi Fujiwara, Yoko Suzuki, Miho Miyajima, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara, Katsuya Ohta, Tetsuo Sasano, Masato Matsuura, Eisuke Matsushima
IFAC Proceedings Volumes (IFAC-PapersOnline), 2013, English
2013 - 2013

NCスペクトラルクラスタリングを用いたソフトセンサ設計と入力変数選択　　　　　　　　　　　　　　　
第189回委員会・平成24年度第4回研究会, 07 Dec. 2012, 日本学術振興会プロセスシステム工学第143委員会, Japanese, Invited oral presentation
[Invited]

線形回帰モデルにおけるNCスペクトラルクラスタリングとgroup Lassoを用いた効率的な入力変数選択
藤原幸一, 加納学
自動制御連合講演会(CD-ROM), 17 Nov. 2012, Japanese
17 Nov. 2012 - 17 Nov. 2012

An Efficient Input Variable Selection for a Linear Regression Model by NC Spectral Clustering
FUJIWARA Koichi, SAWADA Hiroshi, KANO Manabu
電子情報通信学会技術研究報告, 31 Oct. 2012, The Institute of Electronics, Information and Communication Engineers, Japanese
31 Oct. 2012 - 31 Oct. 2012, Linear regression models have been widely accepted in many scientific and engineering fields for the estimation or interpretation of phenomena. When a linear regression model is built, appropriate input variables have to be selected to achieve high estimation performance. This work proposes new methodologies for selecting input variables for linear regression models using nearest correlation spectral clustering (NCSC), which is a correlation-based clustering method. In the present work, NCSC is used for variable group construction, and a few variable groups are selected by their contribution to estimates; it is referred to as NCSC-based variable selection (NCSC-VS). The usefulness of the proposed NCSC-VS is demonstrated through an industrial application to a chemical process.

An efficient Input Wavelength Selection for a NIR Calibration Model using NC Spectral Clustering　　　　　　　　　　　　　　　
SPO2012, 25 Oct. 2012, Academy of Science for Higher Education of Ukraine, English, Invited oral presentation
[Invited]

効率的なソフトセンサ構築のための入力変数選択
藤原幸一, 澤田宏, 加納学
計測自動制御学会制御部門大会(CD-ROM), 13 Mar. 2012, Japanese
13 Mar. 2012 - 13 Mar. 2012

局所PLSを用いた多品種バッチプロセスの製品品質推定
北川裕一, 河野浩司, 真子秀樹, 藤原幸一, 加納学, 長谷部伸治
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 06 Aug. 2010, 公益社団法人 化学工学会, Japanese
06 Aug. 2010 - 06 Aug. 2010

Correlation-based spectral clustering for flexible soft-sensor design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
IFAC Proceedings Volumes (IFAC-PapersOnline), 2010, English
2010 - 2010

変数間の相関関係に基づいたクラスタリング手法の開発とソフトセンサへの応用
藤原幸一, 加納学, 長谷部伸治
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 16 Aug. 2009, 公益社団法人 化学工学会, Japanese
16 Aug. 2009 - 16 Aug. 2009

Correlation-based pattern recognition and its application to adaptive soft-sensor design
Fujiwara K, Kano M, Hasebe S
IFAC Proceedings Volumes (IFAC-PapersOnline), 2009, English
2009 - 2009

Development of correlation-based pattern recognition and its application to adaptive soft-sensor design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings, 2009, English
2009 - 2009

Development and Application of a New Spectral Clustering Algorithm　　　　　　　　　　　　　　　
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
AIChE Annual Meeting, paper 507d, Nashville, US, Nov. 8-13, 2009, English
2009 - 2009

相関型Just‐In‐Timeモデリングのナンバリングアッププロセスへの適用
藤原幸一, 向井洋介, 加納学, 長谷部伸治
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 24 Aug. 2008, Japanese
24 Aug. 2008 - 24 Aug. 2008

変数間の相関に着目したクラスタリング手法およびその多変量統計モデリングへの利用
向井洋介, 藤原幸一, 加納学, 長谷部伸治
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 24 Aug. 2008, 公益社団法人 化学工学会, Japanese
24 Aug. 2008 - 24 Aug. 2008

相関型Just‐In‐Timeモデリングの化学プロセスへの適用
藤原幸一, 加納学, 長谷部伸治, 滝波明敏
システム制御情報学会研究発表講演会講演論文集(CD-ROM), 16 May 2008, Japanese
16 May 2008 - 16 May 2008

プロセス特性変化に着目した相関型Just‐In‐Timeモデリングによるソフトセンサ設計
藤原幸一, 加納学, 長谷部伸治
化学工学会年会研究発表講演要旨集, 17 Feb. 2008, 公益社団法人 化学工学会, Japanese
17 Feb. 2008 - 17 Feb. 2008

Development of a new pattern recognition method and its application to just-in-time modeling
Koichi Fujiwara, Yosuke Mukai, Manabu Kano, Shinji Hasebe
AIChE Annual Meeting, Conference Proceedings, 2008, English
2008 - 2008

Soft-sensor Design for Time-Varying Processes through Correlation-Based Just-In-Time Modeling　　　　　　　　　　　　　　　
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
Proceedings of Fifth International Conference on Foundations of Computer-Aided Process Operations (FOCAPO 2008), pp.341-344, Cambridge, MA, June 29-July 2, 2008, English
2008 - 2008

Correlation-Based Just-In-Time Modeling for Soft-Sensor Design
Koichi Fujiwara, Manabu Kano, Shinji Hasebe
18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2008, English
2008 - 2008

Batch Process Modeling and Optimization through Wavelet Coefficient Regression　　　　　　　　　　　　　　　
Yosuke Mukai, Kenichi Tasaka, Koichi Fujiwara, Manabu Kano, Shinji Hasebe
Proceedings of International Symposium on Design, Operation and Control of Chemical Processes (PSE ASIA 2007), CD-ROM, F-12, Xi’an, China, Aug. 15-18, 2007, English
2007 - 2007

ウェーブレット解析と多変量解析を用いたバッチプロセス操作プロファイルの最適化
藤原幸一, 加納学, 長谷部伸治, 大野弘
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 16 Aug. 2006, 公益社団法人 化学工学会, Japanese
16 Aug. 2006 - 16 Aug. 2006

Modeling and Optimization of Batch Process Operation through Wavelet Analysis and Multivariate Analysis　　　　　　　　　　　　　　　
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
AIChE Annual Meeting, paper 125a, Sa Francisco, CA, Nov. 13-17, 2006, English
2006 - 2006

Operation profile optimization for batch process through wavelet analysis and multivariate analysis
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, English
2006 - 2006

運転データに基づく階層型品質改善システムの開発―効果的な操作変数の選択―
藤原幸一, LEE Seunghyun, 加納学, 長谷部伸治
化学工学会秋季大会研究発表講演要旨集(CD-ROM), 05 Sep. 2005, Japanese
05 Sep. 2005 - 05 Sep. 2005

統計的手法に基づく階層型品質改善システムの開発 ペニシリン製造プロセスへの適用
LEE Seunghyun, 藤原幸一, 加納学, 長谷部伸治
システム制御情報学会研究発表講演会講演論文集, 18 May 2005, Japanese
18 May 2005 - 18 May 2005

統計的品質改善のための枠組み
加納学, 藤原幸一, 長谷部伸治
システム制御情報学会研究発表講演会講演論文集, 18 May 2005, Japanese
18 May 2005 - 18 May 2005

統計的手法に基づく階層型品質改善システムの開発
LEE Seunghyun, 藤原幸一, 加納学, 長谷部伸治
計測自動制御学会関西支部学生研究発表会講演論文集 平成17年, 2005, Japanese
2005 - 2005

Product quality improvement using multivariate data analysis
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, English
2005 - 2005

製品品質・歩留り改善のための操業条件推定法
藤原幸一, 加納学, 長谷部伸治, 大野弘
化学工学会年会研究発表講演要旨集, 02 Mar. 2004, Japanese
02 Mar. 2004 - 02 Mar. 2004

Data-Driven Approach for Improving Product Yield
Koichi Fujiwara, Manabu Kano, Shinji Hasebe, Hiromu Ohno
The 10th Asian Pacific Confederation of Chemical Engineering, 2004, The Society of Chemical Engineers, Japan, English
2004 - 2004, A data-driven methodology for improving product yield by integrating principal component analysis (PCA) and liner discriminant analysis (LDA) is proposed. Referred to as Data-Driven Quality Improvement (DDQI), the proposed method can cope with qualitative as well as quantitative quality variables, determine the operating conditions that can achieve the desired product quality, optimize the operating condition under various constraints, and also evaluate the validity of the results. The relationship between product quality and operating conditions can be modeled by PCR when quality variables are quantitative. On the other hand, LDA can be used for modeling when quality variables are qualitative, e.g., good or bad. For such a qualitative quality variable, the yield, that is the percentage of good products to all products, can be specified on the basis of histograms for given categories. The histograms can be obtained from operation data, and they can be drawn against the axis defined by LDA. Once the desired yield is specified, the operating condition that can achieve the desired yield can be determined. The usefulness of the proposed method is demonstrated through a case study.

Data-Driven Quality Improvement: Handling Qualitative Variables　　　　　　　　　　　　　　　
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
IFAC Symposium on Dynamics and Control of Process Systems, 2004, English
2004 - 2004

Data-driven approach for product quality/yield improvement: How to specify target of qualitative quality variables
Manabu Kano, Koichi Fujiwara, Shinji Hasebe, Hiromu Ohno
AIChE Annual Meeting, Conference Proceedings, 2004, English
2004 - 2004

主成分回帰を用いた製品品質・歩留り改善のための最適運転条件推定法
藤原幸一, 加納学, 長谷部伸治, 大野弘
システム制御情報学会研究発表講演会講演論文集, 2004, Japanese
2004 - 2004

AI-MAILs - メディカルAI人材養成産学協働拠点・講義　　　　　　　　　　　　　　　
名古屋大学医学部
Sep. 2021 - Present

Programming Practice　　　　　　　　　　　　　　　
Nagoya University
Oct. 2020 - Present

先進プロセス情報論　　　　　　　　　　　　　　　
名古屋大学
Apr. 2019 - Present

Linear Algebra　　　　　　　　　　　　　　　
Nagoya University
Apr. 2019 - Present

システム制御　　　　　　　　　　　　　　　
名古屋大学，同志社大学
Oct. 2015 - Present

品質管理　　　　　　　　　　　　　　　
京都大学
Apr. 2014 - Jul. 2016

空間データに対する統計的因果探索手法の開発と製品不良原因解明への応用
官民による若手研究者発掘支援事業/共同研究フェーズ
Apr. 2025 - Mar. 2028
NEDO, 名古屋大学, Principal investigator, 24129494

局所電位の周波数情報のカテーテル アブレーション治療への応用と焼灼巣予測AIの開発
科学研究費助成事業
01 Apr. 2024 - 31 Mar. 2027
滝川 正晃, 藤原 幸一
日本学術振興会, 基盤研究(C), 東京医科歯科大学, 24K11212

Research for development of connectome-based functional neurosurgery and non-invasive simulation system
Grants-in-Aid for Scientific Research
01 Apr. 2022 - 31 Mar. 2027
前澤 聡, Bagarinao E., 臼井 直敬, 齋藤 竜太, 藤原 幸一, 坪井 崇, 夏目 淳
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Nagoya University, 22H03184

心拍変動解析によるてんかん発作予知AIシステムの研究開発
医工連携・人工知能実装研究事業
Apr. 2021 - Mar. 2026
AMED, 名古屋大学, Principal investigator, Competitive research funding

Fundamental development of physiological measurement and analysis platform toward 2nd-generation healthcare IoT technology
Grants-in-Aid for Scientific Research
01 Apr. 2021 - 31 Mar. 2025
山川 俊貴, 藤原 幸一, 下野 僚子, 宮島 美穂
本研究では、健診等の静的データによるリスク評価を、生理指標等の動的解析を行うアルゴリズムの異常検出条件に組み込み検出感度を高める手法や、動的データに対し他の解析アルゴリズムや他の生理指標の解析結果をもとに異常検出条件をアダプティブに調整することで偽陽性を低減する手法を明らかにし、高い感度・特異度で健康状態変化や疾患を予測する独創性の高い手法をとることとしている。
特に、本来標的としていない異常状態によって生じる偽陽性の低減が複数アルゴリズム適応時の大きな課題であった。そこで、まずは健診等の静的データから、発生リスクの高い変化・疾患について動的解析アルゴリズムの異常検出条件に重みづけを行う手法を開発した。
さらに、動的データに対しては複数アルゴリズム・複数指標の解析結果を複合的に利用することで異常検出条件をアダプティブに調整して偽陽性を低減する。この静的・動的データと異常検出アルゴリズムの複合利用により、てんかん発作予知アルゴリズムについては偽陽性頻度が半減するほどの性能向上が得られた。
併せて機械学習を用いた生体情報解析の第一人者であるNgee Ann PolytechnicのAcharya教授(h-index: 71)やNational Heart Center SingaporeのTan准教授の助言と協力も得た。
前年度・前々年度の経済的分析結果を用いて、一般的な企業や家庭でも導入可能な装置群を選定した結果、特にシャツ型のウェアラブルデバイスについて、十分なランニングコスト低減が図られれば、健康保険等による経済的な支援がなくとも導入可能性が十分にあることが示唆された。
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), 23K21867

Identification of modifiable factors for cognitive decline: use of multimodal biological data.
Grants-in-Aid for Scientific Research
01 Apr. 2021 - 31 Mar. 2025
角谷 寛, 藤原 幸一, 角 幸頼, 加納 学, 大道 智恵, 須藤 智志
簡便に取得できるマルチモーダルな生体データを統合的に解析することで、認知機能低下の客観的指標の確立を目指す。そのために、アルツハイマー病およびレビー小体型認知症という有病率の高い二つの認知症のハイリスク群および健常高齢者群を対象に、認知機能および心拍変動などの生体データについてベースライン調査を実施する予定であったが、新型コロナウイルス感染症による影響のために、研究協力機関において健常高齢者を対象としたベースライン調査を実施することができなかった。
そこで、主に医療機関受診者を対象として、ベンゾジアゼピン受容体作動薬とせん妄の関係、心拍変動をもとにした睡眠時無呼吸スクリーニングアルゴリズムの開発、レビー小体型認知症のハイリスク群であるレム睡眠行動障害などについての研究を実施してきた。
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Shiga University of Medical Science, 23K21863

Fundamental development of physiological measurement and analysis platform toward 2nd-generation healthcare IoT technology
Grants-in-Aid for Scientific Research
01 Apr. 2021 - 31 Mar. 2025
山川 俊貴, 藤原 幸一, 宮島 美穂, 下野 僚子
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Kumamoto University, 21H03855

Identifying modifiable factors for cognitive decline: using multimodal biological data.
Grants-in-Aid for Scientific Research
01 Apr. 2021 - 31 Mar. 2025
角谷 寛, 藤原 幸一, 角 幸頼, 加納 学, 大道 智恵, 須藤 智志
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Shiga University of Medical Science, 21H03851

ウェアラブルデバイスによる熱中症発症予防のための熱中症アラームシステム
Kanennhi
Apr. 2019 - Mar. 2023
Kouichi Fujiwara
JSPS, Principal investigator, Competitive research funding

非専門医によるてんかん診療質向上のための診療支援AI基盤の創出
さきがけ
Oct. 2018 - Sep. 2022
藤原 幸一
JST, Principal investigator, Competitive research funding

心拍変動解析と機械学習を用いたてんかん発作予知ＡＩの実証研究　　　　　　　　　　　　　　　
研究助成
Apr. 2021 - Mar. 2022
IO-DATA 財団, Principal investigator

サイボーグ技術によって身体を再定義し，自己の能力を従来の人の限界を超えて高め誰もが自己実現できる社会
ムーンショット型研究開発事業 新たな目標検討のためのビジョン公募
Feb. 2021 - Aug. 2021
JST, 名古屋大学, Principal investigator

心拍変動解析に基づくCOVID-19重症化予測機械学習アルゴリズムの開発研究　　　　　　　　　　　　　　　
新型コロナウィルス感染症対策 助成プログラム
Jul. 2020 - Jun. 2021
中谷医工計測技術振興財団, Coinvestigator

COVID-19重症化予測AIの開発　　　　　　　　　　　　　　　
牧誠記念研究助成
Jul. 2020 - Mar. 2021
藤原幸一
名古屋大学, 名古屋大学, Principal investigator

心電図解析によるてんかん発作の検知・予知システム確立のための広帯域頭蓋内脳波解析　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2019 - Mar. 2021
前原健寿
JSPS, Competitive research funding

AIによる教育と医療で共有可能なADHDスクリーニング及び治療適正化方法の開発　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2018 - Mar. 2021
阪上由子
JSPS, Competitive research funding

マルチモダリティ生体信号計測によるてんかん発作自動検出および重症度評価技術の確立　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2018 - Mar. 2021
宮島美穂
JSPS, Competitive research funding

てんかん発作オンデマンド介入のための発作予測システムの開発
先端計測プログラム・加速費
Nov. 2019 - Mar. 2020
藤原 幸一
AMED, Principal investigator, Competitive research funding

卓越研究員研究費　　　　　　　　　　　　　　　
卓越研究員制度
Nov. 2018 - Mar. 2020
藤原 幸一
JSPS, Principal investigator, Competitive research funding

リアルタイム心拍変動解析技術を用いたヘルスケアサービス開発　　　　　　　　　　　　　　　
インキュベーションプログラム
Apr. 2018 - Mar. 2020
藤原 幸一
京都大学, Principal investigator, Competitive research funding

てんかん発作オンデマンド介入のための発作予測システムの開発
先端計測分析技術・機器開発プログラム
Aug. 2017 - Mar. 2020
藤原 幸一
AMED, Principal investigator, Competitive research funding

生理機能に基づくレビー小体型認知症早期診断ウェアラブルデバイスの開発
科研費基盤A
Apr. 2017 - Mar. 2020
角谷寛
JSPS, Competitive research funding

ウェアラブルセンシングと人工知能の融合によるクラウドてんかん発作診療支援システムの開発　　　　　　　　　　　　　　　
挑戦的研究
Apr. 2017 - Mar. 2020
藤原 幸一
セコム科学技術振興財団, Principal investigator, Competitive research funding

てんかん発作オンデマンド介入のための発作予測システムの開発
平成30年度第2回医療分野の研究開発関連の調整費
Dec. 2018 - Mar. 2019
藤原 幸一
内閣府, Principal investigator, Competitive research funding

保健医療用人工知能の技術革新と国際競争力向上に資する人材育成に関する研究　　　　　　　　　　　　　　　
厚労科研費
Oct. 2017 - Mar. 2019
奥村貴史
厚生労働省, Competitive research funding

夜間・休日を含む小児救急医療体制の最適化及び情報発信方法に関する研究　　　　　　　　　　　　　　　
厚労科研費
Apr. 2017 - Mar. 2019
清水直樹
厚生労働省, Competitive research funding

センシング技術を基軸とした健康管理システムの地域特性に基づく分析　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2017 - Mar. 2019
下野僚子
JSPS, Competitive research funding

心拍変動解析と機械学習の融合による脳卒中検知システムの基盤技術開発　　　　　　　　　　　　　　　
研究助成
Apr. 2017 - Mar. 2019
藤原 幸一
高橋産業経済研究財団, Principal investigator, Competitive research funding

治療抵抗性高血圧症に対する頭側延髄腹外側野の微小血管減圧術-確実な診断技術の開発　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2016 - Mar. 2019
浜崎禎
JSPS, Competitive research funding

非専門医のてんかん診療の質改善のためのてんかん診療支援クラウドAIの開発
学術研究助成
Jan. 2018 - Dec. 2018
藤原 幸一
住友電工グループ社会貢献基金, Principal investigator, Competitive research funding

ロバスト主成分分析を用いたてんかん発作予知システムの実用化研究　　　　　　　　　　　　　　　
工学研究奨励援助金
Oct. 2017 - Sep. 2018
藤原 幸一
服部報公会, Principal investigator, Competitive research funding

クラウド型てんかん発作診療支援AIの開発　　　　　　　　　　　　　　　
研究助成
Aug. 2017 - Jul. 2018
藤原 幸一
村田学術振興財団, Principal investigator, Competitive research funding

迷走神経刺激療法有効性事前判定のためのてんかん発作軽減効果予測手法の開発　　　　　　　　　　　　　　　
科研費若手B
Apr. 2014 - Mar. 2018
藤原 幸一
JSPS, Principal investigator, Competitive research funding

PLSと構造正則化に基づいた高精度溶銑温度予測モデルの開発　　　　　　　　　　　　　　　
助成金
Dec. 2015 - Nov. 2017
藤原 幸一
JFE21世紀財団, Principal investigator, Competitive research funding

心拍変動解析と機械学習に基づいた熱中症発症予測アルゴリズム構築
日本人若手研究者研究助成金
Apr. 2016 - Mar. 2017
藤原 幸一
中島記念国際交流財団, Principal investigator, Competitive research funding

てんかん発作発現前の生理的脳内ネットワークの変調に基づいた発作予知理論の実証　　　　　　　　　　　　　　　
科研費基盤C
Apr. 2014 - Mar. 2017
丸田雄一
JSPS, Competitive research funding

ウェアラブルHRVセンサを用いたてんかん発作兆候検知システムの開発　　　　　　　　　　　　　　　
科研費基盤B
Apr. 2013 - Mar. 2017
宮島美穂
JSPS, Competitive research funding

自動車運転中に特化したてんかん発作兆候監視システム開発およびインタフェース設計　　　　　　　　　　　　　　　
自然科学研究助成
Oct. 2014 - Sep. 2016
藤原 幸一
三菱財団, Principal investigator, Competitive research funding

心拍変動解析によるてんかん発作早期予知デバイスの開発　　　　　　　　　　　　　　　
研究助成
Apr. 2014 - Mar. 2015
藤原 幸一
国際科学技術財団, Principal investigator, Competitive research funding

心拍変動に基づくてんかん発作兆候検知システムの構築
Jan. 2014 - Dec. 2014
藤原 幸一
住友電工グループ社会貢献基金, Principal investigator, Competitive research funding

ネックレス型心拍数ワイヤレス計測デバイスを用いた小型・低コストな車載用居眠り検知システムの基盤技術開発
A-Step シーズ顕在化タイプ
Oct. 2012 - Mar. 2014
山川俊貴
JST, Competitive research funding

製品品質改善及び操業安定化のための生産プロセスのモデル化・最適化手法の開発　　　　　　　　　　　　　　　
特別研究員科研費
Apr. 2008 - Mar. 2010
藤原 幸一
JSPS, Principal investigator, Competitive research funding

分類システム　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 尾崎紀夫, 岩本邦弘, 宮田聖子, 角田 柊二, 国立大学法人東海国立大学機構
特願2022-169896, 24 Oct. 2022

不整脈重症度分類装置　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 永田祥也, 国立大学法人東海国立大学機構
特願2022-077509, 10 May 2022

居眠り検知装置、検知方法、及びコンピュータプログラム　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 加納学, 堀憲太郎, 岩本洋紀, 国立大学法人京都大学
特願2021-029195, 09 Jul. 2021

熱中症発症検知装置　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 太田鴻志, 山川俊貴, 久保孝富
特願2020-097152, 03 Jun. 2020

無呼吸識別システム及びコンピュータプログラム　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 仲山千佳夫, 加納学, 京都大学
特願2015-101782, 19 May 2015
特開2016-214491, 22 Dec. 2016
特許6691334, 14 Apr. 2020
28 Apr. 2020

睡眠時無呼吸症候群判定装置、睡眠時無呼吸症候群判定方法、及び、睡眠 時無呼吸症候群判定プログラム　　　　　　　　　　　　　　　
Patent right, 藤原 幸一, 仲山 千佳夫, 岩崎 絢子
特願2019-023217, 13 Feb. 2019

てんかん発作予測装置、心電指標データの分析方法、発作予測コンピュー タプログラム、モデル構築装置、モデル構築方法、モデル構築コンピュータプログラム　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 坂根史弥, 京都大学
特願2018-181414, 27 Sep. 2018

眠気検出方法及び眠気検出装置　　　　　　　　　　　　　　　
Patent right, 山川俊貴, 藤原幸一, 平岡敏洋, 阿部恵里花, 京都大学
特願2014-114093, 06 Jun. 2014
特開2015-226696, 17 Dec. 2015
特許6375496
03 Aug. 2018

てんかん性発作兆候検知装置、てんかん性発作兆候検知モデル生成装置、てんかん性発作兆候検知方法、てんかん性発作兆候検知モデル生成方法、てんかん性発作兆候検知プログラムおよびてんかん性発作兆候検知モデル生成プログラム　　　　　　　　　　　　　　　
Patent right, 加納 学, 藤原 幸一, 京都大学
特願2013-258494, 13 Dec. 2013
特開2015-112423, 22 Jun. 2015
特許6344912
01 Jun. 2018

演算装置、検知装置、演算方法、及び、コンピュータプログラム　　　　　　　　　　　　　　　
Patent right, 藤原幸一, 宮谷将太, 京都大学
特願2018-90592, 09 May 2018

予測モデル構築装置、方法、及びプログラム、並びに発電量予測装置、及び方法　　　　　　　　　　　　　　　
Patent right, 藤原 幸一, 須山敬之, 日本電信電話株式会社
特願2011-240543, 01 Nov. 2011
特開2013-99143, 20 May 2013
特許5661594
12 Dec. 2014

センサ情報解析装置、携帯情報端末間通信制御装置、方法、及びプログラム　　　　　　　　　　　　　　　
Patent right, 藤原 幸一, 竹内考, 日本電信電話株式会社
特願2012-152618, 06 Jul. 2012
特開2014-17605, 30 Jan. 2014

プラント制御情報生成装置及び方法、並びにそのためのコンピュータプログラム　　　　　　　　　　　　　　　
Patent right, 加納学, 藤原幸一, 京都大学
特願2009-151745, 26 Jun. 2009
特開2011-008562, 13 Jan. 2011
特許5457737
07 Jan. 2014

変数決定方法、変数決定装置、プログラム及び記録媒体　　　　　　　　　　　　　　　
Patent right, 加納学, 藤原幸一, 京都大学
特開2008-517936, 29 May 2007

操作変数選択装置,操作変数選択方法,操作変数選択プログラムおよびそれを記録したコンピュータ読み取り可能な記録媒体　　　　　　　　　　　　　　　
Patent right, 加納学, 藤原幸一
特開2006-323523, 30 Nov. 2006

七尾市鵬学園高校 出前授業　　　　　　　　　　　　　　　
05 Sep. 2017
Lecturer
七尾市青年会議所

京都市立衣笠小学校 出前授業　　　　　　　　　　　　　　　
28 Oct. 2016
Lecturer
Visiting lecture
京都新聞
ソフィアがやってきた

鹿児島県立種子島高校 出前授業　　　　　　　　　　　　　　　
10 Oct. 2016
Lecturer
Visiting lecture
西之表市