Automated estimation of ankle muscle EMG envelopes and resulting plantar-dorsi flexion torque from 64 garment-embedded electrodes uniformly distributed around the human leg.

The design of personalized movement training and rehabilitation pipelines relies on the ability of assessing the activation of individual muscles concurrently with the resulting joint torques exerted during functional movements. Despite advances in motion capturing, force sensing and bio-electrical...

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Publicado en:Journal of Electromyography & Kinesiology Vol. 67
Autores principales: Simonetti, Donatella, Koopman, Bart, Sartori, Massimo
Formato: Journal Article
Publicado: Elsevier B.V. Dec2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2022
      vid: 67
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      pub: Elsevier B.V.
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        10.1016/j.jelekin.2022.102701
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        atl: Automated estimation of ankle muscle EMG envelopes and resulting plantar-dorsi flexion torque from 64 garment-embedded electrodes uniformly distributed around the human leg.
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          Simonetti, Donatella
          Koopman, Bart
          Sartori, Massimo
        affil: Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands
      sug:
      ab: The design of personalized movement training and rehabilitation pipelines relies on the ability of assessing the activation of individual muscles concurrently with the resulting joint torques exerted during functional movements. Despite advances in motion capturing, force sensing and bio-electrical recording technologies, the estimation of muscle activation and resulting force still relies on lengthy experimental and computational procedures that are not clinically viable. This work proposes a wearable technology for the rapid, yet quantitative, assessment of musculoskeletal function. It comprises of (1) a soft leg garment sensorized with 64 uniformly distributed electromyography (EMG) electrodes, (2) an algorithm that automatically groups electrodes into seven muscle-specific clusters, and (3) a EMG-driven musculoskeletal model that estimates the resulting force and torque produced about the ankle joint sagittal plane. Our results show the ability of the proposed technology to automatically select a sub-set of muscle-specific electrodes that enabled accurate estimation of muscle excitations and resulting joint torques across a large range of biomechanically diverse movements, underlying different excitation patterns, in a group of eight healthy individuals. This may substantially decrease time needed for localization of muscle sites and electrode placement procedures, thereby facilitating applicability of EMG-driven modelling pipelines in standard clinical protocols.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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