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    Validation of an EMG-driven, graphically based isometric musculoskeletal model of the cervical spine

    Access Status
    Fulltext not available
    Authors
    Netto, Kevin
    Burnett, A.
    Green, J.
    Rodrigues, J.
    Date
    2008
    Type
    Journal Article
    
    Metadata
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    Citation
    Netto, K. and Burnett, A. and Green, J. and Rodrigues, J. 2008. Validation of an EMG-driven, graphically based isometric musculoskeletal model of the cervical spine. Journal of Biomechanical Engineering. 130 (3).
    Source Title
    Journal of Biomechanical Engineering
    DOI
    10.1115/1.2913234
    ISSN
    0148-0731
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/45199
    Collection
    • Curtin Research Publications
    Abstract

    EMG-driven musculoskeletal modeling is a method in which loading on the active and passive structures of the cervical spine may be investigated. A model of the cervical spine exists; however, it has yet to be criterion validated. Furthermore, neck muscle morphometry in this model was derived from elderly cadavers, threatening model validity. Therefore, the overall aim of this study was to modify and criterion validate this preexisting graphically based musculoskeletal model of the cervical spine. Five male subjects with no neck pain participated in this study. The study consisted of three parts. First, subject-specific neck muscle morphometry data were derived by using magnetic resonance imaging. Second, EMG drive for the model was generated from both surface (Drive 1: N = 5) and surface and deep muscles (Drive 2: N = 3). Finally, to criterion validate the modified model, net moments predicted by the model were compared against net moments measured by an isokinetic dynamometer in both maximal and submaximal isometric contractions with the head in the neutral posture, 20 deg of flexion, and 35 deg of extension. Neck muscle physiological cross sectional area values were greater in this study when compared to previously reported data. Predictions of neck torque by the model were better in flexion (18.2% coefficient of variation (CV)) when compared to extension (28.5% CV) and using indwelling EMG did not enhance model predictions. There were, however, large variations in predictions when all the contractions were compared. It is our belief that further work needs to be done to improve the validity of the modified EMG-driven neck model examined in this study. A number of factors could potentially improve the model with the most promising probably being optimizing various modeling parameters by using methods established by previous researchers investigating other joints of the body. Copyright © 2008 by ASME.

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