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 represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

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 …

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 …

Recently, there are few monitoring systems using wireless technology for surface
electromyogram (sEMG). Muscle fatigue detection is one of the important applications of …

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

Fatigue detection through electromyography analysis has been in use since 1912 when it
was discovered by H. Piper. Until now, there has been much research on muscle fatigue …

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 …