Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation

Modern approaches to motor rehabilitation of severe upper limb paralysis in chronic stroke decode movements from electromyography for controlling rehabilitation orthoses. Muscle fatigue is a phenomenon that influences these neurophysiological signals and may diminish the decoding quality. Characterization of these potential signal changes during movement patterns of rehabilitation training could therefore help improve the decoding accuracy. In the present work we investigated how electromyographic indices of muscle fatigue in the Deltoid Anterior muscle evolve during typical forward reaching movements of a rehabilitation training in healthy subjects and a stroke patient. We found that muscle fatigue in healthy subjects changed the neurophysiological signal. In the patient, however, no consistent change was observed over several sessions.


Published in:
2019 9th International IEEE/Embs Conference On Neural Engineering (Ner), 126-129
Presented at:
9th IEEE/EMBS International Conference on Neural Engineering (NER), San Francisco, CA, Mar 20-23, 2019
Year:
Jan 01 2019
Publisher:
New York, IEEE
ISSN:
1948-3546
ISBN:
978-1-5386-7921-0
Keywords:
Laboratories:




 Record created 2019-06-19, last modified 2019-08-12


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