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 …

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 to classify muscle fatigue content in
sports related scenarios. Mechanomyography (MMG) signals of the biceps muscle were …

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 …

The objective detection of muscle fatigue reports the moment at which a muscle fails to
sustain the required force. Such a detection prevents any further injury to the muscle …

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 …

This study investigated the effects different sampling rates may produce on the quality of
muscle fatigue detection algorithms. sEMG signals were obtained from isometric …

Surface Electromyography (sEMG) activity of the biceps muscle was recorded from nine
subjects. Data were recorded while subjects performed dynamic contraction until fatigue …

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

Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten
subjects performing isometric contraction until fatigue. A novel feature (1D spectro_std) was …