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A dynamical model of muscle activation, fatigue, and recovery.

机译:肌肉激活,疲劳和恢复的动力学模型。

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摘要

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.
机译:动力学模型作为肌肉激活,疲劳和恢复的框架。通过根据两个现象学参数(F,R)描述肌肉疲劳和恢复的影响,我们开发了一组动力学方程式来描述作为由自愿努力激活的一组运动单位的肌肉的行为。该模型提供了一个宏观视图,用于了解在刺激,限制和调节肌肉力量输出中的主动驱动,疲劳效应和恢复的生物物理机制。在假定脑力恒定的条件下研究该模型。该模型的实验验证是通过拟合从健康人类受试者在3分钟的持续最大自主握紧力中测得的力数据进行的。实验结果证实了该模型关于最大肌肉力量产生可能性的理论推论,并暗示在假定所有运动单位都可以自愿招募的情况下,在最大的自愿努力下只能达到真正最大力量的97%。讨论了不同运动单元类型,随时间变化的脑力,伪影的来源以及其他可能影响模型的因素的影响。还讨论了该模型的应用。

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