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 …

In this paper, we propose an unsupervised learning framework based on Genetic
Programming (GP) to predict the position of any particular target event (defined by the user) …

Patients with spinal cord injury (SCI) benefit from muscle training with functional electrical
stimulation (FES). For safety reasons and to optimize training outcome, the fatigue state of …

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 …

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 …

Wearable technology had set to play a major role in solving various problems in medical or
sports applications in sports training, ergonomics, and mostly physical therapy. Surface …

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 …