Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task
Article [Version acceptée]
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Ergonomics ; vol. 65, no 1, p. 118-133.Éditeur·s
Taylor and FrancisAuteur·e·s
Affiliation
- Université de Montréal. Faculté de médecine. École de kinésiologie et des sciences de l'activité physique
- Université de Montréal. Laboratoire de simulation et modélisation du mouvement
- Université Laval. Faculté de médecine. Département de kinésiologie
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale
- Hôpital Sainte-Justine. Centre de recherche
- Université de Montréal. Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage
Résumé·s
Muscle fatigue is a risk factor for developing shoulder musculoskeletal disorders. The aim of this study was to identify shoulder electromyographic indicators that are most indicative of muscle fatigue during a laboratory simulated manual handling task. Thirty-two participants were equipped with electromyographic electrodes on 10 shoulder muscles and moved boxes for 45-minutes. The modified rate of perceived exertion (mRPE) was assessed every 5-minutes and multivariate linear regressions were performed between myoelectric manifestation of fatigue (MMF) and the mRPE scores. During a manual handling task representative of industry working conditions, spectral entropy, median frequency, and mobility were the electromyographic indicators that explained the largest percentage of the mRPE. Overall, the deltoids, biceps and upper trapezius were the muscles that most often showed significant changes over time in their electromyographic indicators. The combination of these three indicators may improve the accuracy for the assessment of MMF during manual handling.