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Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review
Muhammad Abdullah1, Abdul Aziz Hulleck1, Rateb Katmah2
1Department of Mechanical and Nuclear Engineering, Khalifa University, Abu Dhabi, UAE.
Journal of Neuroengineering and Rehabilitation
|October 5, 2024
Summary
This systematic review explores multibody musculoskeletal (MSK) modeling for gait analysis, detailing platforms, personalization, and applications. Further development is needed for MSK modeling templates based on female anatomy.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Computational Modeling
Background:
- Gait analysis quantifies movement using kinematics, spatiotemporal metrics, and forces.
- Multibody musculoskeletal (MSK) modeling offers a non-invasive method to predict internal joint and muscle forces.
- Biofidelic MSK models are increasingly used in clinical settings for diagnostics and rehabilitation.
Purpose of the Study:
- To provide a comprehensive overview of multibody MSK modeling platforms.
- To review methods for model personalization and solutions for statically indeterminate problems.
- To summarize post-processing techniques and practical applications of MSK modeling.
Main Methods:
- PRISMA-based systematic review and meta-analysis of over 116 studies.
- Evaluation of existing multibody MSK modeling platforms.
- Analysis of personalization techniques and solutions for indeterminate problems.
Main Results:
- Detailed overview of various MSK modeling platforms and personalization strategies.
- Summary of techniques for addressing statically indeterminate problems in MSK modeling.
- Compilation of post-processing methods and diverse clinical applications of MSK modeling.
Conclusions:
- Multibody MSK modeling is an essential tool for simulating and understanding human movement dynamics.
- Current MSK modeling lacks templates based on female anatomy, highlighting a need for further research.
- Advancements in MSK modeling can enhance clinical decision-making and gait rehabilitation protocols.
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