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
收藏
页码：513 / 520
页数：8
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