近野 敦(コンノ アツシ) |
情報科学研究院 システム情報科学部門 システム融合学分野 |
教授 |
背景 : 在宅医療の高度化により, 気管内吸引等の高度ケアを担う人材の育成が喫緊の課題である.方法 : 気管内吸引を行う看護師と看護学生の眼球運動を測定し, 気管内吸引中の認知・判断面を含めた多重タスク構造を気管内吸引オントロジーとして可視化した.結果 : 構築された気管内吸引オントロジーの階層構造からは, 手順という手続き的知識のみならず, 医療機器に関する知識, 気管内吸引が無効であった際の選択肢に関する知識など, 多岐にわたった専門知識が要求される行為であることが示された.考察 : オントロジーは「できる」能力の範囲や評価すべき能力の定義を示す教育評価ツールとしても活用の可能性がある表現法と考えられた.
The generation of patient-specific models is one of the difficult problems in the clinical application of surgery simulators. In particular, when estimation of soft tissue deformation is required, a finite element (FE) mesh needs to be generated from the patient's medical images. One of the effective methods of FE mesh generation is the volume embedding approach. In this approach, the medical volume data are embedded in a simple volumetric mesh such as orthogonal grid. However, the volume embedding method generates an incorrect boundary surface in the FE mesh. This makes it difficult to solve the contact problem between tools and embedded volumes. In this paper, an efficient contact handling method for embedded volumes using the signed distance field is described. In addition, its application to haptic rendering is introduced.
Although how to perform tasks at disaster sites has been actively discussed, there is little debate on important issues such as how to deliver robots to disaster sites. We propose to drop a humanoid robot with a parachute from an airplane as one of the methods of delivering robots. In this research, we aim to establish a method to absorb the shock at the time of landing by whole body motion for preventing the damage to the robot. As an early stage of this research, drop tests using a small one-legged robot were conducted. From the viewpoint obtained by these experiments, we designed a parachute landing motion for the small robot heuristically and succeeded in reducing the impact force to 40%.
During surgery, a surgeon uses a variety of surgical instruments. Therefore, a haptic interface for surgical training should be able to display reaction force through various surgical instruments. Based on this concept, a novel encountered-type haptic interface using MR (Magneto-Rheological) fluid for neurosurgery simulators have been developed. This paper presents design of an 8 DOF haptic interface which can display independent reaction force on each hand. This haptic interface has two display parts which consists of MR fluid, a container of the fluid, a force sensor, an electromagnet coil and a yoke. The display part is miniaturized based on magnetic field analysis and moved by a 4 DOF motion table for the application of neurosurgery training.