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2021年ASB博士前奖:基于模型的洞察力,了解复杂结构,动力学和神经力学对肌肉硬度的影响

Katherine R Knaus¹

¹Department of Mechanical Engineering, Colorado School of Mines, 1500 Illinois St, Golden, CO, USA.

Journal of biomechanics

|October 28, 2025

概括

测量肌底肌肉硬度是复杂的. 这项研究使用了3D模型来展示激活时间和隔间相互作用如何影响刚度测量,为更好的实验设计提供了洞察力.

科学领域:

生物力学生物力学
肌肉生理学肌肉生理学
计算建模计算建模

背景情况:

肌肉硬是神经机械性质的关键指标,反映了被动和活跃肌肉特征.
独肌的独特形态和收缩动态使准确的硬性特征变得复杂,影响脚的移动性.
了解肌硬度对于评估其在运动和潜在功能障碍中的作用至关重要.

研究的目的:

通过使用3D有限元模型,研究测量肌硬度的方法方法.
分析被动和主动延长对索勒斯刚度计算的影响.
探索不同的激活模式和隔间贡献如何影响索勒斯硬度.

主要方法:

开发和应用3D有限元模型的肌肉.
在受控条件下的被动和活跃肌肉延长的模拟.
分析不同的应力和应变定义,以计算模量.
前部和后部隔间激活的独立变化.

主要成果:

由于各种压力/应变定义,被动延长模拟高估了肌肉性.
积极延长的度在很大程度上取决于肌肉激活的时间相对于长度变化.
隔间激活影响了单独肌肉的力量产生,并调节了整体肌肉硬度,尽管对单个隔间的动力效应很小.
不同的模数计算显示了对激活变化的不同灵敏度,突出显示了从组织扩展到整个肌肉的特性的挑战.

结论:

肌肉硬的特征,特别是单肌,提出了重要的方法挑战.
模拟结果强调了激活时间和部间相互作用在确定肌肉度方面的重要性.
该研究为改进旨在准确评估内在肌肉特性和动态功能的实验设计提供了宝贵的见解.

关键词:

积极的肌肉功能活跃的肌肉功能异常收缩的异常收缩方式有限元素模型的模型.被动肌肉的属性被动肌肉的属性横向曲器生物力学

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