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Neck musculoskeletal model generation through anthropometric scaling

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  • Paulien E Roos
  • Anita Vasavada
  • Liying Zheng
  • Xianlian Zhou

Abstract

A new methodology was developed to quickly generate whole body models with detailed neck musculoskeletal architecture that are properly scaled in terms of anthropometry and muscle strength. This method was implemented in an anthropometric model generation software that allows users to interactively generate any new male or female musculoskeletal models with adjustment of anthropometric parameters (such as height, weight, neck circumference, and neck length) without the need of subject-specific motion capture or medical images. 50th percentile male and female models were developed based on the 2012 US Army Anthropometric Survey (ANSUR II) database and optimized with a novel bilevel optimization method to have strengths comparable to experimentally measured values in the literature. Other percentile models (ranging from the 1st to 99th percentile) were generated based on anthropometric scaling of the 50th percentile models and compared. The resultant models are reasonably accurate in terms of both musculoskeletal geometry and neck strength, demonstrating the effectiveness of the developed methodology for interactive neck model generation with anthropometric scaling.

Suggested Citation

  • Paulien E Roos & Anita Vasavada & Liying Zheng & Xianlian Zhou, 2020. "Neck musculoskeletal model generation through anthropometric scaling," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-21, January.
  • Handle: RePEc:plo:pone00:0219954
    DOI: 10.1371/journal.pone.0219954
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    References listed on IDEAS

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    1. Erik B. Reed & Andrea M. Hanson & Peter R. Cavanagh, 2015. "Optimising muscle parameters in musculoskeletal models using Monte Carlo simulation," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(6), pages 607-617, April.
    2. Bethany Suderman & Bala Krishnamoorthy & Anita Vasavada, 2012. "Neck muscle paths and moment arms are significantly affected by wrapping surface parameters," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(7), pages 735-744.
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