ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
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EMG信号に基づく動作推定型ハイブリッドリハビリテーションシステム
*竹中 健祐島 圭介島谷 康司
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会議録・要旨集 認証あり

p. 1P1-E02-

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In this paper, the authors propose a method for rehabilitation support in accordance with the patient’s motor intention based on the control of the robot assist and functional electrical stimulation (FES). Motion estimation is performed with a probabilistic neural network by input feature patterns extracted from electromyograms (EMGs). The subject’s motions are controlled and assisted by the developed assist robot and FES control. The experimental results showed that the effective training can be realized by the proposed system, and the system has the potential to provide effective rehabilitation.

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