Paper Info
Title
Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation
Abstract
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.
Year
DOI
Venue
2019
10.1109/NER.2019.8717165
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
Keywords
Field
DocType
electromyographic indices,muscle fatigue,rehabilitation training,neurophysiological signal,severely paralyzed chronic stroke patient,upper limb motor rehabilitation,severe upper limb paralysis,chronic stroke decode movements,rehabilitation orthoses,decoding quality,potential signal changes,movement patterns,decoding accuracy,deltoid anterior muscle evolve,forward reaching movements
Motor rehabilitation,Computer vision,Upper limb,Computer science,Stroke,Artificial intelligence,Muscle fatigue,Physical medicine and rehabilitation
Conference
ISSN
ISBN
Citations 
1948-3546
978-1-5386-7922-7
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Andreas M. Ray101.69
Aurelien Maillot200.34
Florian Helmhold300.68
Wala Jaser Mahmoud400.34
Eduardo López-Larraz576.05
Ander Ramos-Murguialday6259.02