Real-time closed-loop FES control of muscle activation with evoked EMG feedback

Zhan Li, Mitsuhiro Hayashibe, David Andreu, David Guiraud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Functional electrical stimulation (FES) is a useful technique for restoring motor functions for spinal cord injured (SCI) patients. Muscle contractions can be artificially driven through delivery of electrical pulses to impaired muscles, and the electrical activity of contracted muscles under stimulus recorded by electromyography (EMG) is called M-wave. The FES-induced muscle activation which is represented by evoked EMG recordings can indicate the muscle state. Accurate control of muscle activation level by FES is the preliminary step for achieving more complicated FES control tasks. This paper proposes a real-time FES system for control of muscle activation by online modulating pulse width of stimulus. The excitation muscle dynamics is modelled by Hammerstain system with stimulus pulse width and eEMG as input and output respectively. The model predictive control strategy is adopted to compute the pulse width command sent to the Vivaltis wireless stimulator. Four reference muscle activation patterns are provided to test and validate the real-time closed-loop FES control system. Real-time control results on one able-bodied subject show promising control performances.

Original languageEnglish
Title of host publication2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
PublisherIEEE Computer Society
Pages623-626
Number of pages4
ISBN (Electronic)9781467363891
DOIs
Publication statusPublished - 2015 Jul 1
Externally publishedYes
Event7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France
Duration: 2015 Apr 222015 Apr 24

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2015-July
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
CountryFrance
CityMontpellier
Period15/4/2215/4/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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    Li, Z., Hayashibe, M., Andreu, D., & Guiraud, D. (2015). Real-time closed-loop FES control of muscle activation with evoked EMG feedback. In 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 (pp. 623-626). [7146700] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/NER.2015.7146700