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    Muscle-tendon unit parameter estimation of a Hill-type musculoskeletal model based on experimentally obtained subject-specific torque profiles.

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    Authors
    Heinen, Frederik
    Sørensen, Søren
    King, Mark
    Lewis, Martin
    Lund, Morten Enemark
    Rasmussen, John
    de Zee, Mark
    Affiliation
    Nottingham Trent University
    Aalborg University
    Loughborough University
    Issue Date
    2019-04-25
    
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    Abstract
    The aim of this study was to generate a subject-specific musculoskeletal muscle model, based on isometric and isovelocity measurements of the whole lower extremity. A two-step optimisation procedure is presented for optimising the muscle-tendon parameters for isometric and isovelocity joint torque profiles. A significant improvement in the prediction of joint torque profiles for both the solely isometric and a combined isometric and dynamic method of optimization when compared to the standard scaling method of The AnyBody Modeling System was observed. Depending on the specific purpose of the model, it may be worth considering whether the isometric-only would be sufficient, or the additional dynamic data are required for the combined approach.
    Citation
    Heinen, F., Sørensen, S.N., King, M., Lewis, M., Lund, M.E., Rasmussen, J., and de Zee, M. (2019) 'Muscle-tendon unit parameter estimation of a Hill-type musculoskeletal model based on experimentally obtained subject-specific torque profiles', Journal of Biomechanical Engineering, 141(6), p.061005. doi: 10.1115/1.4043356.
    Publisher
    American Society of Mechanical Engineers
    Journal
    Journal of Biomechanical Engineering
    URI
    http://hdl.handle.net/10545/623938
    DOI
    10.1115/1.4043356
    PubMed ID
    30942825
    Additional Links
    http://biomechanical.asmedigitalcollection.asme.org/article.aspx?articleid=2730405
    Type
    Article
    Language
    en
    ISSN
    1528-8951
    ae974a485f413a2113503eed53cd6c53
    10.1115/1.4043356
    Scopus Count
    Collections
    School of Human Sciences

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