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Non-invasive techniques for muscle fatigue monitoring: a comprehensive survey
Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …
impairs physical performance and increases the risks of injury. It is important to continuously …
A review of non-invasive techniques to detect and predict localised muscle fatigue
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 …
been investigated in order to fully understand the condition. This paper gives an overview of …
An autonomous wearable system for predicting and detecting localised muscle fatigue
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 …
been clinically investigated in order to fully understand the condition. This paper …
Novel Pseudo-Wavelet function for MMG signal extraction during dynamic fatiguing contractions
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 …
sports related scenarios. Mechanomyography (MMG) signals of the biceps muscle were …
A wireless surface electromyogram monitoring system using smartphone and its application to maintain biceps muscle
ER Widasari, R Miyauchi, H Tamura… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Recently, there are few monitoring systems using wireless technology for surface
electromyogram (sEMG). Muscle fatigue detection is one of the important applications of …
electromyogram (sEMG). Muscle fatigue detection is one of the important applications of …
Super wavelet for sEMG signal extraction during dynamic fatiguing contractions
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 …
contractions, by using a genetic algorithm (GA) and a pseudo-wavelet function. Fatiguing …
Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions
MR Al-Mulla - 2012 4th Computer Science and Electronic …, 2012 - ieeexplore.ieee.org
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 …
feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the …
[HTML][HTML] Optimal elbow angle for extracting sEMG signals during fatiguing dynamic contraction
Surface electromyographic (sEMG) activity of the biceps muscle was recorded from 13
subjects. Data was recorded while subjects performed dynamic contraction until fatigue and …
subjects. Data was recorded while subjects performed dynamic contraction until fatigue and …
Future direction of the electromyography based method to evaluate muscle fatigue
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 …
was discovered by H. Piper. Until now, there has been much research on muscle fatigue …
A comparison of sEMG and MMG signal classification for automated muscle fatigue detection
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 …
fatiguing dynamic contraction of the biceps brachii. Commonly used statistical features are …