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
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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