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A generic musculoskeletal model of the juvenile lower limb for biomechanical analyses of gait

Author

Listed:
  • Reinhard Hainisch
  • Andreas Kranzl
  • Yi-Chung Lin
  • Marcus G. Pandy
  • Margit Gfoehler

Abstract

The aim of this study was to develop a generic musculoskeletal model of a healthy 10-year-old child and examine the effects of geometric scaling on the calculated values of lower-limb muscle forces during gait. Subject-specific musculoskeletal models of five healthy children were developed from in vivo MRI data, and these models were subsequently used to create a generic juvenile (GJ) model. Calculations of lower-limb muscle forces for normal walking obtained from two scaled-generic versions of the juvenile model (SGJ1 and SGJ2) were evaluated against corresponding results derived from an MRI-based model of one subject (SSJ1). The SGJ1 and SGJ2 models were created by scaling the GJ model using gait marker positions and joint centre locations derived from MRI imaging, respectively. Differences in the calculated values of peak isometric muscle forces and muscle moment arms between the scaled-generic models and MRI-based model were relatively small. Peak isometric muscle forces calculated for SGJ1 and SGJ2 were respectively 2.2% and 3.5% lower than those obtained for SSJ1. Model-predicted muscle forces for SGJ2 agreed more closely with calculations obtained from SSJ1 than corresponding results derived from SGJ1. These results suggest that accurate estimates of muscle forces during gait may be obtained by scaling generic juvenile models based on joint centre locations. The generic juvenile model developed in this study may be used as a template for creating subject-specific musculoskeletal models of normally-developing children in studies aimed at describing lower-limb muscle function during gait.

Suggested Citation

  • Reinhard Hainisch & Andreas Kranzl & Yi-Chung Lin & Marcus G. Pandy & Margit Gfoehler, 2020. "A generic musculoskeletal model of the juvenile lower limb for biomechanical analyses of gait," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 24(4), pages 349-357, June.
  • Handle: RePEc:taf:gcmbxx:v:24:y:2020:i:4:p:349-357
    DOI: 10.1080/10255842.2020.1817405
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