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Accuracy of generic musculoskeletal models in predicting the functional roles of muscles in human gait

Correa, TA; Baker, RJ; Graham, HK; Pandy, MG

Authors

TA Correa

RJ Baker

HK Graham

MG Pandy



Abstract

Biomechanical assessments of muscle function are often performed using a generic musculoskeletal model created from anatomical measuremetns obtained from cadavers. Understanding the validity of using generic models to study movement biomechanics is critical, especially when such models are applied to analyse the walking patterns of persons with impaired mobility. The aim of this study was to evaluate the accuracy of scaled-generic models in determining the moment arms and functional roles of the lower-limb muscles during gait. The functional role of a muscle was described by its potential to contribute to the acceleration of a joint or the acceleration of the whole-body centre of mass. A muscle's potential acceleration was defined as the acceleration induced by a unit of muscle force. Dynamic simulations of walking were generated for four children with cerebral palsy and five age-matched controls. Each subject was represented by a scaled-generic model and a model developed from magnetic resonance (MR) imaging. Calculations obtained form the scaled-generic model of each subject were evaluated against those derived from the corresponding MR-based model. Substantial differences were found in the muscle moment arms computed using the two models. These differences propagated to calculations of muscle potential accelerations, but predictions of muscle functions (ie the direction in which a muscle accelerated a joint of the centre of mass and the magnitude of the muscle's potential acceleration relative to that of other muscles) were consistent between the two modeling techniques. Our findings suggest that scaled-generic models and image-based models yield similar assessments of muscle function in both normal and pathological gait.

Citation

Correa, T., Baker, R., Graham, H., & Pandy, M. (2011). Accuracy of generic musculoskeletal models in predicting the functional roles of muscles in human gait. Journal of Biomechanics, 44(11), 2096-2105. https://doi.org/10.1016/j.jbiomech.2011.05.023

Journal Article Type Article
Publication Date Jul 1, 2011
Deposit Date Sep 27, 2011
Journal Journal of Biomechanics
Print ISSN 0021-9290
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 44
Issue 11
Pages 2096-2105
DOI https://doi.org/10.1016/j.jbiomech.2011.05.023
Keywords Walking, muscle function, subject-specific modeling, MRI, cerebral palsy
Publisher URL http://dx.doi.org/10.1016/j.jbiomech.2011.05.023


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