对于静态和动态任务来说,肌肉疲劳的四部分控制器模型
James Yang1, Ritwik Rakshit1, Shuvrodeb Barman2
1Human-Centric Design Research Lab, Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, United States.
Frontiers in physiology
|February 27, 2025
概括
一种针对肌肉疲劳的新型四隔间控制器模型 (4CCr) 准确地预测了静态和动态任务中的力量下降. 这种模型区分了中心和外围疲劳,改善了以前的模型,用于各种运动.
科学领域:
- 生物力学 生物力学
- 人类运动科学科学 人类运动科学
- 身体生理学 身体生理学
背景情况:
- 现有的肌肉疲劳模型 (例如,三组分控制器-3CC) 在静态任务中表现出色,但无法捕捉动态运动的复杂性.
- 动态运动涉及不同的中央和外围疲劳机制,目前的模型还没有完全解决这些问题.
- 之前的四个隔间模型在静态和动态条件下都没有得到验证.
研究的目的:
- 引入一款具有增强肌肉疲劳恢复 (4CCr) 的新型四控制器模型.
- 单独建模中央和外围疲劳对强度下降的贡献.
- 为了验证模型对静态和动态任务的准确性.
主要方法:
- 开发了一种新的四隔间控制器模型 (4CCr),采用增强恢复.
- 用关节速度作为一个指标来量化中央与外围疲劳贡献.
- 使用实验数据的子集估计模型参数,并与其余数据验证.
主要成果:
- 4CCr模型准确地预测静态任务的强度下降,与已建立的3CC模型保持一致.
- 对于动态 (异动力学) 任务,4CCr模型在更高的速度下显示了疲劳预测的增加,与实验观察结果相匹配.
- 3CC模型无法考虑取决于速度的同位体强度变化,这在4CCr模型中得到了克服.
结论:
- 拟议的4CCr模型提供了一种更全面的肌肉疲劳方法,适用于静态和动态收缩.
- 该模型能够区分疲劳机制,从而更好地了解运动期间的力量损失.
- 4CCr模型在分析个体肌肉,运动单元和关节特异性疲劳方面具有潜在的应用.
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