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Electromyographic models to assess muscle fatigue

机译:肌电图模型评估肌肉疲劳

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摘要

Muscle fatigue is a common experience in daily life. Many authors have defined it as the incapacity to maintain the required or expected force, and therefore, force, power and torque recordings have been used as direct measurements of muscle fatigue. In addition, the measurement of these variables combined with the measurement of surface electromyography (sEMG) recordings (which can be measured during all types of movements) during exercise may be useful to assess and understand muscle fatigue. Therefore, there is a need to develop muscle fatigue models that relate changes in sEMG variables with muscle fatigue. However, the main issue when using conventional sEMG variables to quantify fatigue is their poor association with direct measures of fatigue. Therefore, using different techniques, several authors have combined sets of sEMG parameters to assess muscle fatigue. The aim of this paper is to serve as a state-of-the-art summary of different sEMG models used to assess muscle fatigue. This paper provides an overview of linear and non-linear sEMG models for estimating muscle fatigue, their ability to assess power loss and their limitations due to neuromuscular changes after a training period.
机译:肌肉疲劳是日常生活中的常见经历。许多作者将其定义为无法保持所需或预期的力量,因此,力量,力量和扭矩记录已被用作肌肉疲劳的直接测量。此外,这些变量的测量与运动过程中表面肌电图(sEMG)记录的测量(可以在所有类型的运动中进行测量)的组合可能对评估和理解肌肉疲劳有用。因此,需要开发将sEMG变量的变化与肌肉疲劳相关的肌肉疲劳模型。但是,使用常规sEMG变量来量化疲劳时的主要问题是它们与疲劳的直接度量之间的关联性较差。因此,使用不同的技术,几位作者结合了sEMG参数集来评估肌肉疲劳。本文的目的是作为用于评估肌肉疲劳的不同sEMG模型的最新摘要。本文概述了用于估计肌肉疲劳的线性和非线性sEMG模型,它们评估功率损失的能力以及训练期后由于神经肌肉变化而引起的局限性。

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