Journal of NeuroEngineering and Rehabilitation (Oct 2024)

Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review

  • Muhammad Abdullah,
  • Abdul Aziz Hulleck,
  • Rateb Katmah,
  • Kinda Khalaf,
  • Marwan El-Rich

DOI
https://doi.org/10.1186/s12984-024-01458-y
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 31

Abstract

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Abstract Beyond qualitative assessment, gait analysis involves the quantitative evaluation of various parameters such as joint kinematics, spatiotemporal metrics, external forces, and muscle activation patterns and forces. Utilizing multibody dynamics-based musculoskeletal (MSK) modeling provides a time and cost-effective non-invasive tool for the prediction of internal joint and muscle forces. Recent advancements in the development of biofidelic MSK models have facilitated their integration into clinical decision-making processes, including quantitative diagnostics, functional assessment of prosthesis and implants, and devising data-driven gait rehabilitation protocols. Through an extensive search and meta-analysis of over 116 studies, this PRISMA-based systematic review provides a comprehensive overview of different existing multibody MSK modeling platforms, including generic templates, methods for personalization to individual subjects, and the solutions used to address statically indeterminate problems. Additionally, it summarizes post-processing techniques and the practical applications of MSK modeling tools. In the field of biomechanics, MSK modeling provides an indispensable tool for simulating and understanding human movement dynamics. However, limitations which remain elusive include the absence of MSK modeling templates based on female anatomy underscores the need for further advancements in this area.

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