DocumentCode :
3003369
Title :
Real-time closed-loop FES control of muscle activation with evoked EMG feedback
Author :
Zhan Li ; Hayashibe, Mitsuhiro ; Andreu, David ; Guiraud, David
Author_Institution :
INRIA Sophia-Antipolis DEMAR team, Univ. de Montpellier, Montpellier, France
fYear :
2015
fDate :
22-24 April 2015
Firstpage :
623
Lastpage :
626
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.
Keywords :
closed loop systems; electromyography; medical control systems; neuromuscular stimulation; real-time systems; FES-induced muscle activation; Hammerstain system; M-wave electrical activity; Vivaltis wireless stimulator; electromyography; evoked EMG feedback; excitation muscle dynamics; functional electrical stimulation; real-time closed-loop FES control; spinal cord injured patients; Adaptation models; Computational modeling; Electromyography; Joints; Muscles; Predictive models; Real-time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location :
Montpellier
Type :
conf
DOI :
10.1109/NER.2015.7146700
Filename :
7146700
Link To Document :
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