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 …

The purpose of this study was to develop an algorithm for automated muscle fatigue
detection in sports related scenarios. Surface electromyography (sEMG) of the biceps …

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 …

Muscle fatigue is defined as a reduction in the capability of muscle to exert force or power.
Although surface electromyography (sEMG) signals during exercise have been used to …

In this work, an attempt has been made to differentiate surface electromyography signals
under fatigue and non-fatigue conditions. Signals are recorded from the biceps brachii …

Surface Electromyography (SEMG) is the non-invasive recording of electrical activity of the
muscle. This signal is an indicator of the muscle activity and is also known to change if the …

Background and objective Surface electromyography (sEMG) based muscle fatigue
research is widely preferred in sports science and occupational/rehabilitation studies due to …

Muscle fatigue during isometric contraction of biceps brachii is analysed using
synchrosqueezed continuous wavelet transform with Morlet wavelet and singular value …

In this work, an attempt has been made to differentiate surface electromyography (sEMG)
signals under muscle fatigue and non-fatigue conditions with multiple time window (MTW) …

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 …