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A neurophysiological pattern as a precursor of work-related musculoskeletal disorders using EEG combined with EMG

Segning Colince Meli, Ezzaidi Hassan, da Silva Rubens Alexandre et Ngomo Suzy. (2021). A neurophysiological pattern as a precursor of work-related musculoskeletal disorders using EEG combined with EMG. International Journal of Environmental Research and Public Health, 18, (4), p. 2001.

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URL officielle: http://dx.doi.org/doi:10.3390/ijerph18042001

Résumé

We aimed to determine the neurophysiological pattern that is associated with the development of musculoskeletal pain that is induced by biomechanical constraints. Twelve (12) young healthy volunteers (two females) performed two experimental realistic manual tasks for 30 min each: (1) with the high risk of musculoskeletal pain development and (2) with low risk for pain development. During the tasks, synchronized electroencephalographic (EEG) and electromyography (EMG) signals data were collected, as well as pain scores. Subsequently, two main variables were computed from neurophysiological signals: (1) cortical inhibition as Task-Related Power Increase (TRPI) in beta EEG frequency band (β.TRPI) and (2) muscle variability as Coefficient of Variation (CoV) from EMG signals. A strong effect size was observed for pain measurement under the high risk condition during the last 5 min of the task execution; with muscle fatigue, because the CoV has decreased below 18%. An increase in cortical inhibition (β.TRPI >50%) was observed after the 5th min of the task in both experimental conditions. These results suggest the following neurophysiological pattern—β.TRPI ≥ 50% and CoV ≤ 18%—as a possible indicator to monitor the development of musculoskeletal pain in the shoulder in the context of repeated and prolonged exposure to manual tasks.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:1660-4601
Volume:18
Numéro:4
Pages:p. 2001
Version évaluée par les pairs:Oui
Date:2021
Identifiant unique:10.3390/ijerph18042001
Sujets:Sciences naturelles et génie
Sciences naturelles et génie > Génie
Sciences de la santé
Sciences de la santé > Sciences de l'activité physique et réadaptation
Sciences de la santé > Sciences de l'activité physique et réadaptation > Physiothérapie
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées
Départements et modules > Département des sciences de la santé > Unité d'enseignement en physiothérapie
Mots-clés:EEG, electroencephalography, β.TRPI, task-related power increase, EMG, electromyography, électroencéphalographie, augmentation de puissance liée à la tâche, électromyographie, douleur, troubles musculosquelettiques, tâche manuelle, pain, musculoskeletal disorders, manual task
Déposé le:26 oct. 2021 21:35
Dernière modification:26 oct. 2021 21:35
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Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

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