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

Neuroengineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Publisher	IEEE Computer Society
Pages	126-129
Number of pages	4
ISBN (Electronic)	9781538679210
DOIs	https://doi.org/10.1109/NER.2019.8717165
Publication status	Published - 16 May 2019
Event	9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States Duration: 20 Mar 2019 → 23 Mar 2019

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2019-March
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Country/Territory	United States
City	San Francisco
Period	20/03/19 → 23/03/19

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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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. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 126-129). Article 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. in 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, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 - Helmhold, Florian

AU - Mahmoud, Wala Jaser

AU - López-Larraz, Eduardo

AU - Ramos-Murguialday, Ander

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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. In 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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