https://doi.org/10.4081/ejtm.2016.6064

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

Vol. 26 No. 3 (2016)
Submitted: 6 June 2016
Accepted: 6 June 2016
Published: 13 September 2016
Functional electrical stimulation (FES), Torque prediction, Muscle activation control, Hybrid stimulation system
Abstract Views: 1509
PDF: 850
HTML: 545
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

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
hayashibe@lirmm.fr
INRIA-LIRMM, University of Montpellier, Montpellier, France.
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.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Crossref
Scopus
Google Scholar
Europe PMC

How to Cite

Li, Z., Guiraud, D., Andreu, D., Fattal, C., Gelis, A., & Hayashibe, M. (2016). A hybrid functional electrical stimulation for real-time estimation of joint torque and closed-loop control of muscle activation. European Journal of Translational Myology, 26(3). https://doi.org/10.4081/ejtm.2016.6064

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.