Muscle fatigue is an established area of research and various types of muscle fatigue have
been investigated in order to fully understand the condition. This paper gives an overview of …

Muscle fatigue is an established area of research and various types of muscle fatigue have
been clinically investigated in order to fully understand the condition. This paper …

The purpose of this study was to develop an algorithm to classify muscle fatigue content in
sports related scenarios. Mechanomyography (MMG) signals of the biceps muscle were …

In this research an algorithm was developed to classify muscle fatigue content from dynamic
contractions, by using a genetic algorithm (GA) and a pseudo-wavelet function. Fatiguing …

OCCUPATIONAL APPLICATIONS Localized Muscle Fatigue (LMF) can be monitored or
predicted based on the relative change in the values of surface electromyography (sEMG) …

This study developed a new muscle fatigue feature based on sEMG signals. The evolved
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …

Surface electromyographic (sEMG) activity of the biceps muscle was recorded from 13
subjects. Data was recorded while subjects performed dynamic contraction until fatigue and …

This study compares the classification performance of both sEMG and MMG signal from
fatiguing dynamic contraction of the biceps brachii. Commonly used statistical features are …

In this paper, the traditional fatigue state classification method is abandoned, and a neural
network model is established to predict the variation of muscle fatigue by using the extracted …

Association football was first organized in England in 1863 and spread rapidly to the rest of
the world, presenting itself as one of the first manifestations of globalization. Nowadays …