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Comparison of different methods for estimating muscle forces in human movement
Yi-Chung Lin1, Tim W Dorn, Anthony G Schache
1Department of Mechanical Engineering, University of Melbourne, Parkville, Victoria, Australia.
Summary
Static optimisation (SO), computed muscle control (CMC), and neuromusculoskeletal tracking (NMT) estimate muscle forces during locomotion. SO is most attractive due to its robustness and efficiency for human movement analysis.
Area of Science:
- Biomechanics
- Human Locomotion
- Musculoskeletal Modeling
Background:
- Estimating muscle forces during human locomotion is crucial for understanding movement.
- Existing methods include static optimisation (SO), computed muscle control (CMC), and neuromusculoskeletal tracking (NMT).
- CMC and NMT incorporate muscle activation dynamics, unlike SO.
Purpose of the Study:
- To compare muscle-force estimates from SO, CMC, and NMT during walking and running.
- To evaluate the differences and similarities in muscle loading patterns predicted by each method.
Main Methods:
- Utilized musculoskeletal modeling and experimental gait data for self-selected walking and running speeds.
- Applied static optimisation (SO), computed muscle control (CMC), and neuromusculoskeletal tracking (NMT) to derive muscle forces.
- Performed correlation analyses to quantify differences between the muscle-force solutions.
Main Results:
- All three methods produced similar patterns of muscle loading for both walking and running.
- Correlation coefficients between any two methods ranged from 0.46 to 0.99 (p < 0.001).
- Muscle-force estimates showed high agreement across the different computational approaches.
Conclusions:
- The similarity in muscle loading patterns suggests that SO, CMC, and NMT yield comparable results.
- Static optimisation (SO) is recommended for estimating muscle forces in human locomotion.
- SO's robustness and efficiency make it the most practical and attractive method for biomechanical studies.
