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Forces of individual cat ankle extensor muscles during locomotion predicted using static optimization
B I Prilutsky1, W Herzog, T L Allinger
1Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Alberta, Canada.
Journal of Biomechanics
|December 10, 1997
Summary
This study compared predicted and measured cat leg muscle forces during locomotion. A minimum fatigue criterion accurately predicted muscle forces, suggesting its utility in understanding locomotion control.
Area of Science:
- Biomechanics
- Kinesiology
- Musculoskeletal Modeling
Background:
- Understanding how muscles coordinate during locomotion is crucial for biomechanical analysis.
- Previous models proposed various optimization criteria for predicting muscle forces.
Purpose of the Study:
- To evaluate different optimization criteria for predicting cat hindlimb muscle forces during locomotion.
- To identify the most accurate criterion for simulating muscle force sharing.
Main Methods:
- Measured forces of soleus (SO), gastrocnemius (GA), and plantaris (PL) muscles in cats during treadmill locomotion.
- Utilized a musculoskeletal model and static optimization with six different criteria to predict muscle forces.
- Compared predicted forces with simultaneously recorded kinematic data.
Main Results:
- Linear criteria showed high prediction errors (59-322%).
- Criteria minimizing squared forces, cubed stresses, or stress bounds improved predictions (43-119% error, >0.9 correlation).
- The minimum fatigue criterion, accounting for fiber type, yielded the lowest error (26-52%) and highest correlation (0.97-0.99).
Conclusions:
- The minimum fatigue criterion provides the most accurate prediction of cat hindlimb muscle forces during locomotion.
- Static optimization with an appropriate criterion can adequately predict muscle forces for specific movement conditions.
- Muscle force sharing among synergistic muscles may be consistent for given joint moments and muscle moment arms.