With advances in artificial intelligence (AI)-based algorithms, gesture recognition accuracy
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …

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 …

Objectives Fiber-type transformations can happen in muscles due to athletic training and
certain muscle diseases. This study aims to analyze the muscle fiber type variations in the …

Breast Cancer (BC) is a killing disorder, every year it kills millions of human beings. Early
diagnosis is the only way to mitigate the mortality rate. Among all kinds of screening …

The analysis of surface electromyography (sEMG) signals is significant in the detection of
muscle fatigue. These signals exhibit a great degree of complexity, nonlinearity, and chaos …

Wearable monitoring devices are in demand in recent times for monitoring daily activities
including exercise. Moreover, it is widely utilizing for preventing injuries of athletes during a …

Electromyography (EMG) is a technique that registers the electrical activity from the muscle;
one application for this kind of signal is muscle fatigue analysis, which can be defined as the …

Accurately quantifying muscle fatigue and identifying relative risk are crucial for manual
laborers and patients with muscle diseases. The existing studies have insufficiently …

Electromyography (EMG) is one of the medical diagnostic techniques that is widely used to
investigate muscular health status. Medical and paramedical professional's record EMG …

Electromyography (EMG) signals are used in a wide variety of research fields including
sports, rehabilitation, diagnosis of muscular diseases, prosthetics, robotics, ergonomics, and …