A dynamical model of muscle activation, fatigue, and recovery

A dynamical model of muscle activation, fatigue, and recovery
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DOI:
10.1016/s0006-3495(02)75580-x
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发表时间:
2002-05-01
影响因子:
3.4
通讯作者:
Yue, GH
Yue, GH
中科院分区:
生物学3区
文献类型:
--
作者:
Liu, JZ;Brown, RW;Yue, GH

文献摘要

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提出了一个动力学模型,作为肌肉激活、疲劳和恢复的框架。通过用两个唯象参数(F,R)来描述肌肉疲劳和恢复的影响,我们建立了一组动力学方程来描述肌肉作为一组由自愿努力激活的运动单位的行为。该模型为理解自发驱动、疲劳效应和恢复刺激、限制和调节肌肉输出力的生物物理机制提供了宏观的视角。在假设人脑努力为常数的情况下,研究了该模型。模型的实验验证是通过对健康受试者在持续3分钟的最大手柄自愿收缩期间测量的力数据进行拟合来执行的。实验结果证实了模型关于最大肌力产生的可能性的理论推断,并表明在假设所有运动单位都可以自愿招募的情况下,在最大自愿努力下只有97%的真实最大力量可以达到。讨论了不同运动单元类型、依赖时间的大脑努力、伪影来源以及其他可能影响模型的因素的影响。并对该模型的应用进行了讨论。
A dynamical model is presented as a framework for muscle activation, fatigue, and recovery. By describing the effects of muscle fatigue and recovery in terms of two phenomenological parameters (F, R), we develop a set of dynamical equations to describe the behavior of muscles as a group of motor units activated by voluntary effort. This model provides a macroscopic view for understanding biophysical mechanisms of voluntary drive, fatigue effect, and recovery in stimulating, limiting, and modulating the force output from muscles. The model is investigated under the condition in which brain effort is assumed to be constant. Experimental validation of the model is performed by fitting force data measured from healthy human subjects during a 3-min sustained maximal voluntary handgrip contraction. The experimental results confirm a theoretical inference from the model regarding the possibility of maximal muscle force production, and suggest that only 97% of the true maximal force can be reached under maximal voluntary effort, assuming that all motor units can be recruited voluntarily. The effects of different motor unit types, time-dependent brain effort, sources of artifacts, and other factors that could affect the model are discussed. The applications of the model are also discussed.