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The Mechanics of Poro-Elastic Contractile Actomyosin Networks As a Model System of the Cell Cytoskeleton
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Active Viscoelasticity of Sarcomeres
Khoi D Nguyen1, Neelima Sharma1, Madhusudhan Venkadesan1
1Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, United States.
Frontiers in Robotics and AI
|January 27, 2021
Summary
Muscle
Area of Science:
- Muscle physiology
- Biomechanics
- Robotics
Background:
- Muscle's ability to resist stretching is crucial for animal movement.
- The active response of muscle sarcomeres to perturbations involves stress relaxation.
- Muscle mechanics are often modeled using a Maxwell material, with stiffness and damping properties.
Purpose of the Study:
- To investigate the relationship between neural excitation and muscle damping.
- To test the hypothesis that muscle damping varies non-linearly with neural excitation.
- To explore implications for muscle function and robotic actuator design.
Main Methods:
- Review of current understanding of sarcomere mechanics.
- Analysis of the Maxwell material model for muscle perturbation response.
- Hypothetical modeling of stiffness and damping dependencies on neural excitation.
Main Results:
- Muscle stiffness is understood to vary nearly linearly with neural excitation.
- Muscle damping properties and their dependence on neural excitation are poorly understood.
- A linear dependence of both stiffness and damping on excitation creates a biological trade-off.
Conclusions:
- A non-linear variation of damping with neural excitation may resolve the stiffness-damping trade-off.
- This hypothesis suggests a novel mechanism for muscle's versatile control.
- Further experimental and mathematical studies are needed to validate this hypothesis and inform robotic design.
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