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 a common experience in daily life. Many authors have defined it as the
incapacity to maintain the required or expected force, and therefore, force, power and torque …

Objective. Recent studies have reported that the classification performance of
electromyographic (EMG) signals degrades over time without proper classification …

Pattern recognition is a useful tool for deciphering movement intent from myoelectric signals.
Recognition paradigms must adapt with the user in order to be clinically viable over time …

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) …

Recent advances in recording and real-time analysis of surface electromyographic signals
(sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal …

Injuries caused by the overstraining of muscles could be prevented by means of a system
which detects muscle fatigue. Most of the equipment used to detect this is usually expensive …

In the present contribution, a complexity measure is proposed to assess surface
electromyography (EMG) in the study of muscle fatigue during sustained, isometric muscle …

This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG)
signal stream, during the golf swing using a 7-iron club and exploits information extracted …

Exploiting the concept of fuzzy sets, a new time series complexity measure named fuzzy
entropy was developed. In fuzzy entropy, the degree of similarity between vectors is defined …