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

Andreas M. Ray; Aurélien Maillot; Florian Helmhold; Wala Jaser Mahmoud; Eduardo López-Larraz; Ander Ramos-Murguialday

doi:10.1109/NER.2019.8717165

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

Andreas M. Ray, Aurélien Maillot, Florian Helmhold, Wala Jaser Mahmoud, Eduardo López-Larraz, Ander Ramos-Murguialday

Medical Technologies

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Editorial	IEEE Computer Society
Páginas	126-129
Número de páginas	4
ISBN (versión digital)	9781538679210
DOI	https://doi.org/10.1109/NER.2019.8717165
Estado	Publicada - 16 may 2019
Evento	9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, Estados Unidos Duración: 20 mar 2019 → 23 mar 2019

Serie de la publicación

Nombre	International IEEE/EMBS Conference on Neural Engineering, NER
Volumen	2019-March
ISSN (versión impresa)	1948-3546
ISSN (versión digital)	1948-3554

Conferencia

Conferencia	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
País/Territorio	Estados Unidos
Ciudad	San Francisco
Período	20/03/19 → 23/03/19

ODS de las Naciones Unidas

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10.1109/NER.2019.8717165

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Ray, A. M., Maillot, A., Helmhold, F., Mahmoud, W. J., López-Larraz, E., & Ramos-Murguialday, A. (2019). Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 126-129). Artículo 8717165 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717165

Ray, Andreas M. ; Maillot, Aurélien ; Helmhold, Florian et al. / Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation. 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. pp. 126-129 (International IEEE/EMBS Conference on Neural Engineering, NER).

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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.",

author = "Ray, {Andreas M.} and Aur{\'e}lien Maillot and Florian Helmhold and Mahmoud, {Wala Jaser} and Eduardo L{\'o}pez-Larraz and Ander Ramos-Murguialday",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 ; Conference date: 20-03-2019 Through 23-03-2019",

year = "2019",

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doi = "10.1109/NER.2019.8717165",

language = "English",

series = "International IEEE/EMBS Conference on Neural Engineering, NER",

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Ray, AM, Maillot, A, Helmhold, F, Mahmoud, WJ, López-Larraz, E & Ramos-Murguialday, A 2019, Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019., 8717165, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2019-March, IEEE Computer Society, pp. 126-129, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, Estados Unidos, 20/03/19. https://doi.org/10.1109/NER.2019.8717165

Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation. / Ray, Andreas M.; Maillot, Aurélien; Helmhold, Florian et al.
9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. p. 126-129 8717165 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation

AU - Ray, Andreas M.

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AU - Mahmoud, Wala Jaser

AU - López-Larraz, Eduardo

AU - Ramos-Murguialday, Ander

PY - 2019/5/16

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N2 - 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.

AB - 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.

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Ray AM, Maillot A, Helmhold F, Mahmoud WJ, López-Larraz E, Ramos-Murguialday A. Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation. En 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society. 2019. p. 126-129. 8717165. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/NER.2019.8717165

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

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