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首页> 外文期刊>Mechanical Engineering Journal >Dynamic model of muscle fatigue and recovery considering the roles of slow-twitch and fast-twitch muscles (Validation with a pulling motion)
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Dynamic model of muscle fatigue and recovery considering the roles of slow-twitch and fast-twitch muscles (Validation with a pulling motion)

机译:考虑慢肌和快肌的作用的肌肉疲劳和恢复的动态模型(牵拉动作验证)

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The present paper proposes a new model of muscle fatigue and recovery considering the roles of slow twitch (ST) and fast twitch (FT) muscle fibers. The proposed model can predict the variation in the degree of muscle fatigue because it considers the properties of muscle fatigue and recovery, which have been neglected in previous models. The aim of the present study was to predict not only the progression of muscle fatigue under maximum voluntary contraction (MVC) but also the endurance time for a force maintenance task and the variation in the output force achieved during MVC with regular intervals of rest. To validate the proposed model, a case study were conducted. The parameters of the proposed model, which depend on the anatomical properties of the individual, were determined from the measured variation in the output force under MVC. The endurance time for a force maintenance task with an arbitrary output force and the variation of the output force during MVC with intervals of rest were measured in the case study and compared with those predicted using the proposed model and a previously developed model that does not consider the roles of ST and FT fibers. In the case study, the proposed model showed good agreement with the measurement results and achieved better accuracy than the previous model. Therefore, the proposed model can be applied in cases with a low output force or intervals of rest, which are beyond the scope of the previous model.
机译:本文提出了一种新的肌肉疲劳和恢复模型,该模型考虑了慢肌(ST)和快肌(FT)肌纤维的作用。提出的模型可以预测肌肉疲劳程度的变化,因为它考虑了先前模型中已忽略的肌肉疲劳和恢复特性。本研究的目的不仅是预测最大自愿收缩(MVC)下肌肉疲劳的进展,而且还预测力维持任务的耐力时间以及在MVC期间有规律的休息时间所达到的输出力变化。为了验证所提出的模型,进行了案例研究。所提出模型的参数取决于个体的解剖学特征,是根据MVC下输出力的测量变化确定的。在案例研究中,测量了具有任意输出力的力维持任务的耐力时间以及MVC期间休息间隔时输出力的变化,并将其与使用建议的模型和先前未考虑的模型预测的结果进行了比较ST和FT纤维的作用。在案例研究中,提出的模型与测量结果显示出良好的一致性,并且比以前的模型具有更高的准确性。因此,所提出的模型可以应用于输出力较小或休息时间间隔不属于先前模型范围的情况。

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