一个生理学上增强的肌肉模型:使用Hill型模型用于外纤维作为模板用于内纤维
Pablo F S Chacon1, Maria Hammer1,2, Isabell Wochner1,2,3
1Institute for Modeling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany.
这项研究引入了一种增强的Hill型肌肉模型,用于改进生物机械模拟. 新型号提供稳定的性能和更容易的集成到复杂的神经肌肉骨系统.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 发动机控制器的控制器
背景情况:
- 肌肉旋是感知肢体位置和运动的关键自身感受器.
- 当前的生物机械模型经常使用简化的肌肉输出,限制了生理准确性.
- 需要更生理精确的肌肉模型,可以轻松与现有的肌肉骨模型集成.
研究的目的:
- 开发和验证一个更生理化的肌肉模型.
- 加强将肌肉模型集成到大规模的肌肉骨模拟中.
- 为了比较不同肌肉模型变化的性能.
主要方法:
- 在Matlab/Simulink®中实施了四种肌肉模型变化:Mileusnic等. (2006年),没有质量的米勒斯尼克,增强的Hill型和增强的Hill型与并行减压元件 (PDE).
- 模拟的内纤维延伸,基于猫肌的 afferent 记录.
- 为增强的Hill类型模型优化参数,并与大鼠三肌肌肉数据进行验证.
主要成果:
- 与评估数据相比,米勒斯尼克模型在产生附带火焰方面显示出更好的整体性能.
- 与PDE增强的Hill型模型表现出比原始Mileusnic模型更稳定的性能.
- 改进的模型包含了sarcomere的力长和力速度方面,其激活动态与外式Hill型模型兼容.
结论:
- 增强的Hill型肌肉螺旋模型与PDE提供了稳定和生理相关的替代方案.
- 这种模型可以更容易地集成到多体生物机械模拟中.
- 开发的模型提高了运动控制和自身感知模拟的准确性.
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