使用有限元框架对下肢肌肉骨模型进行肌肉协同作用的计算预测
Sentong Wang1,2, Kazunori Hase3, Tetsuro Funato1
1Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan.
Frontiers in bioengineering and biotechnology
|August 3, 2023
概括
中枢神经系统利用肌肉协同作用来简化运动控制. 一个详细的下肢模型揭示了三个肌肉协同作用,解释了86.42%的肌肉活动在步行姿势阶段.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 肌肉骨系统的建模
背景情况:
- 肌肉协同作用通过模块化激活肌肉来简化运动控制.
- 以前的模型缺乏生理细节,阻碍了肌肉-关节相互作用的分析.
- 在体内了解肌肉-关节相互作用对于生物力学和神经生理学至关重要.
研究的目的:
- 用详细的肌肉骨模型分析下肢的肌肉协同作用.
- 在体内研究影响肌肉协同作用的生理相互作用.
- 改进肌肉骨模型中的关节接触和材料特性表示.
主要方法:
- 开发了一个下肢肌肉骨模型,详细介绍了关节接触和材料特性.
- 应用非负矩阵因子化 (NMF) 进行肌肉协同分解.
- 在行走的姿态阶段分析了肌肉激活模式.
主要成果:
- 确定了三种主要的肌肉协同作用,控制了20个下肢肌肉在步行过程中.
- 这些协同作用占肌肉活动总变异的86.42%.
- 这些发现与现有的肌肉协同作用和肌肉骨生物力学特征一致.
结论:
- 肌肉协同作用为中枢神经系统提供了一个减小尺寸的策略,用于行走过程中.
- 详细的肌肉骨模型增强了对体内生理相互作用的理解.
- 这种方法澄清了行走过程中下肢运动的形成机制.
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