Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task.

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 ele...

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Publicado en:Ergonomics Vol. 65; no. 1; pp. 118 - 134
Autores principales: Goubault, Etienne, Martinez, Romain, Bouffard, Jason, Dowling-Medley, Jennifer, Begon, Mickaël, Dal Maso, Fabien
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jan2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2022
      vid: 65
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      pub: Taylor & Francis Ltd
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        10.1080/00140139.2021.1958013
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        atl: Shoulder electromyography-based indicators to assess manifestation of muscle fatigue during laboratory-simulated manual handling task.
      aug:
        au:
          Goubault, Etienne
          Martinez, Romain
          Bouffard, Jason
          Dowling-Medley, Jennifer
          Begon, Mickaël
          Dal Maso, Fabien
        affil: Laboratoire de Simulation et Modélisation du Mouvement, École de Kinésiologie et des sciences de l'activité physique, Université de Montréal, Laval, Canada
      sug:
        subj:
          Electromyography Methods
          Shoulder Physiology
          Muscle Fatigue
          Simulations
          Task Performance and Analysis
          Biomechanics
          Human
          Electrodes
          Exertion
          Multiple Linear Regression
      ab: 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. Practitioner Summary: To date, muscle fatigue has primarily been assessed during tasks done to exhaustion, which are not representative of typical working conditions. During a manual handling task representative of industry working conditions, EMG-derived spectral entropy, and median frequency, both extracted from time-frequency analysis, and mobility extracted from time domain, were the best indicators of the manifestation of muscle fatigue.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
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      ougenre: Article
    language: English
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