Fundamental Research about Reconstruction of Motor Function by Combining Robot Manipulation with Functional Electrical Stimulation (FES)

机器人操作与功能性电刺激（FES）相结合重建运动功能的基础研究

• 批准号: 18560427
• 负责人: ITO Koji
• 金额: $ 2.39万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2006
• 资助国家: 日本
• 起止时间: 2006 至 2007
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18560427/
• 关键词: Functional Electrical Stimulation; FES; EEG; Rehabilitation; Brain nerve; Welfare

The increase of stroke patients have become a great deal in these days. Most of the patients are hemiplegia, but they can regain their motor abilities by doing rehabilitations. In the aspect of rehabilitations, we focused on the patient's voluntary movement. It is shown that the repeated voluntary movement had highly rehabilitation effect. But, after the deficit, the signal flow from the brain is interrupted especially for the heavily injured patients. So, in this research, we aimed to construct a rehabilitation system for stroke patients by combining electroencephalogram (EEG, intention) with Functional Electrical Stimulation (FES, sensory feedback) which could reconstruct a closed-loop between the motor command and sensory feedback loop. We Developed a method to extract clear Event Related Desynchronization (ERD, specific brain waves) by using healthy non-trained subjects. Both of the patients showed that FES voltage changes has a possibility to extract clear ERD. And the combination of motor imagery with FES caused some good effect for the following imagery task. Functional Electrical Stimulation.

近年来，中风患者的数量增加了很多。大多数病人都是偏瘫，但他们可以通过康复恢复运动能力。在康复方面，我们注重患者的自主运动。结果表明，反复自主运动具有良好的康复效果。但是，在缺陷之后，来自大脑的信号流被中断，特别是对于严重受伤的患者。因此，在本研究中，我们的目标是将脑电图（EEG, intention）与功能电刺激（FES, sensory feedback）相结合，构建脑卒中患者的康复系统，重建运动指令与感觉反馈回路之间的闭环。我们开发了一种方法来提取明确的事件相关非同步（ERD，特定脑电波），通过使用健康的未受过训练的受试者。两例患者均显示FES电压变化有可能提取出清晰的ERD。运动想象与FES的结合对后续的想象任务产生了良好的效果。功能性电刺激。

项目成果

Reconstruction of Motor Function by Combining Electroencephalogram(EEG)with Functional Electrical Stimulation(FES)

脑电图（EEG）与功能性电刺激（FES）相结合重建运动功能

• 发表时间: 2007
• 作者: Mitsuru Takahashi;Manabu Gouko;Koji Ito;Toshiyuki Kondo
• 通讯作者: Toshiyuki Kondo

A design principle of adaptive neural controllers for realizing anticipatory behavior in reaching movement under un-experienced environments

一种自适应神经控制器的设计原理，用于在未经历的环境下实现到达运动的预期行为

• 发表时间: 2006
• 期刊: Proceedings of The Third Workshop on Anticipatory Behavior in Adaptive Learning Systems (ABiALS'06) (CD-ROM)
• 作者: Toshiyuki Kondo;Koji Ito
• 通讯作者: Koji Ito

An Environment Cognition and Motor Adaptation Model by Eliciting Sensorimotor Constraints based on Time-series Observation

基于时间序列观察引出感觉运动约束的环境认知和运动适应模型

• 发表时间: 2007
• 期刊: Jr. of Robotics and Mechatronis 19
• 作者: Koh Hosoda;Takashi Takuma;Athushi Nakamoto;Toshiyuki Kondo and Koji Ito
• 通讯作者: Toshiyuki Kondo and Koji Ito

A Distributed Motor Control System based on Spinal Cord and Musculoskeletal Mechanisms.

基于脊髓和肌肉骨骼机制的分布式电机控制系统。

• 发表时间: 2007
• 期刊: Trans. of SICE 43
• 作者: Tomoaki;Nagano;Toshiyuki;Kondo;Koji;Ito
• 通讯作者: Ito

階層型ニューラルネットにおける中間層での適応的空間再構成と中間層レベルの汎化に基づく知識の継承

分层神经网络中基于隐层自适应空间重构和隐层泛化的知识继承

• 发表时间: 2007
• 期刊: 計測自動制御学会論文集 43-1
• 作者: 柴田克成;伊藤宏司
• 通讯作者: 伊藤宏司