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Critical analysis of musculoskeletal modelling complexity in multibody biomechanical models of the upper limb

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  • Carlos Quental
  • João Folgado
  • Jorge Ambrósio
  • Jacinto Monteiro

Abstract

The inverse dynamics technique applied to musculoskeletal models, and supported by optimisation techniques, is used extensively to estimate muscle and joint reaction forces. However, the solutions of the redundant muscle force sharing problem are sensitive to the detail and modelling assumptions of the models used. This study presents four alternative biomechanical models of the upper limb with different levels of discretisation of muscles by bundles and muscle paths, and their consequences on the estimation of the muscle and joint reaction forces. The muscle force sharing problem is solved for the motions of abduction and anterior flexion, acquired using video imaging, through the minimisation of an objective function describing muscle metabolic energy consumption. While looking for the optimal solution, not only the equations of motion are satisfied but also the stability of the glenohumeral and scapulothoracic joints is preserved. The results show that a lower level of muscle discretisation provides worse estimations regarding the muscle forces. Moreover, the poor discretisation of muscles relevant to the joint in analysis limits the applicability of the biomechanical model. In this study, the biomechanical model of the upper limb describing the infraspinatus by a single bundle could not solve the complete motion of anterior flexion. Despite the small differences in the magnitude of the forces predicted by the biomechanical models with more complex muscular systems, in general, there are no significant variations in the muscular activity of equivalent muscles.

Suggested Citation

  • Carlos Quental & João Folgado & Jorge Ambrósio & Jacinto Monteiro, 2015. "Critical analysis of musculoskeletal modelling complexity in multibody biomechanical models of the upper limb," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(7), pages 749-759, May.
  • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:7:p:749-759
    DOI: 10.1080/10255842.2013.845879
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