Modifying motor unit territory placement in the Fuglevand model.

The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectivel...

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Publicado en:Medical & Biological Engineering & Computing Vol. 55; no. 11; pp. 2015 - 2026
Autores principales: Robertson, Jason, Johnston, Jamie, Robertson, Jason W, Johnston, Jamie A
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Nov2017
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: Modifying motor unit territory placement in the Fuglevand model.
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        au:
          Robertson, Jason
          Johnston, Jamie
          Robertson, Jason W
          Johnston, Jamie A
        affil: Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
      sug:
        subj:
          Motor Neurons Physiology
          Muscle, Skeletal Physiology
          Computer Simulation
          Electromyography Methods
          Muscle Contraction Physiology
          Algorithms
          Human
      ab: The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG-force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.
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        equations & formulas
        research
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      ougenre: Article
    language: English
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