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A hybrid functional electrical stimulation for real-time estimation of joint torque and closed-loop control of muscle activation

Zhan Li, David Guiraud, David Andreu, Charles Fattal, Anthony Gelis, Mitsuhiro Hayashibe
  • Zhan Li
    INRIA-LIRMM, University of Montpellier, Montpellier, France; University of Electronic Science and Technology of China, Chengdu, China
  • David Guiraud
    INRIA-LIRMM, University of Montpellier, Montpellier, France
  • David Andreu
    INRIA-LIRMM, University of Montpellier, Montpellier, France
  • Charles Fattal
    Rehabilitation Center, Montpellier; COS DIVIO, Dijon, France
  • Anthony Gelis
    PROPARA Rehabilitation Center, Montpellier, France
  • Mitsuhiro Hayashibe
    INRIA-LIRMM, University of Montpellier, Montpellier, France | hayashibe@lirmm.fr

Abstract

As a neuroprosthetic technique, functional electrical stimulation (FES) can restore lost motor performance of impaired patients. Through delivering electrical pulses to target muscles, the joint movement can be eventually elicited. This work presents a real-time FES system which is able to deal with two neuroprosthetic missions: one is estimating FES-induced joint torque with evoked electromyograph (eEMG), and the other is artificially controlling muscle activation with such eEMG feedback. The clinical experiment results on spinal cord injured (SCI) patients and healthy subjects show promising performance of the proposed FES system.

Keywords

Functional electrical stimulation (FES); Torque prediction; Muscle activation control; Hybrid stimulation system

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Submitted: 2016-06-06 13:29:19
Published: 2016-09-13 00:00:00
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Copyright (c) 2016 Zhan Li, David Guiraud, David Andreu, Charles Fattal, Anthony Gelis, Mitsuhiro Hayashibe

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