A System for Real-Time Estimation of Joint Torque with Evoked EMG under Electrical Stimulation

被引：2

作者：

Li, Zhan ^{[1
]}

Hayashibe, Mitsuhiro

Andreu, David

Guiraud, David

机构：

[1] Univ Montpellier 2, INRIA DEMAR Team, Montpellier, France

来源：

REPLACE, REPAIR, RESTORE, RELIEVE - BRIDGING CLINICAL AND ENGINEERING SOLUTIONS IN NEUROREHABILITATION | 2014年 / 7卷

关键词：

RECURRENT NEURAL-NETWORK; FATIGUE; MUSCLE;

D O I：

10.1007/978-3-319-08072-7_76

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Functional electrical stimulation (FES) is a useful rehabilitation technique for restoring motor capability of spinal cord injured (SCI) patients by artificially driving muscle contractions. Real-time FES systems with online modulation ability are in great need for clinical applications. In this work, a system for real-time estimation of joint torque with evoked electromyography (eEMG) is presented. Kalman filter (KF) is adopted and embedded into the system as the online torque estimator. The real-time estimation system would be promising toward FES control with consideration of torque changes caused by muscle fatigue.

引用

页码：513 / 520

页数：8

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