Related Experiment Videos
Aspects of skeletal muscle modelling
Marcelo Epstein1, Walter Herzog
1The Department of Mechanical and Manufacturing Engineering, The University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada.
Summary
This study proposes principles for modeling skeletal muscle, emphasizing virtual work and activation criteria over optimization. New findings confirm positive fiber stiffness, even in the descending force-length relationship.
Area of Science:
- Biomechanics
- Computational Biology
- Muscle Physiology
Background:
- Modeling skeletal muscle involves complex philosophical questions regarding representation and explanation levels.
- Existing models may not fully capture the intricacies of muscle mechanics and force generation.
Purpose of the Study:
- To propose a set of desiderata for constructing viable skeletal muscle models.
- To explore the application of the principle of virtual work for handling internal constraints.
- To investigate the stability of the force-length relationship and the force-sharing problem.
Main Methods:
- Proposed desiderata: comprehensiveness, soundness, experimental consistency, predictive ability, and refinability.
- Utilized the principle of virtual work to address internal constraints like incompressibility.
- Developed a mechanical analogue for the descending limb of the force-length relation.
- Investigated force-sharing using a separation theorem and activation criteria.
Main Results:
- Experimental results confirm positive fiber stiffness in the descending limb of the force-length relation.
- The principle of virtual work is advocated for managing counterintuitive results from internal constraints.
- A new approach to the force-sharing problem suggests abandoning optimization in favor of activation criteria.
Conclusions:
- Viable skeletal muscle models require adherence to specific principles, including experimental consistency and predictive power.
- The principle of virtual work and explicit activation criteria offer more robust methods for muscle modeling than traditional optimization approaches.