Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

The process of medical diagnosis, like many other fields, has to pass through various stages
of uncertainty, especially in cases where the data is mostly available in linguistic format …

Surface electromyography‐(sEMG‐) based hand grasp force estimation plays an important
role with a promising accuracy in a laboratory environment, yet hardly clinically applicable …

Traditionally, Surface electromyography (sEMG) has been the predominant method of
sensing muscle activity in order to control myoelectric prosthesis. While many prosthesis …

It is of great significance to detect and predict muscle fatigue for avoiding muscle injury and
the negative effects on human-machine interface. This paper presents a novel approach to …

Fatigue is a state that the muscle could not able to maintain the contraction.
Electromyography signals can be used to determine the state of muscle fatigue …

The EMG-force relationship changes with muscle fatigue, making interpretation of load
sharing between muscles challenging. The purpose of this investigation was to evaluate the …

The application of pattern recognition techniques to Electromyography (EMG) signals has
shown great potential for robust, natural, prostheses control. Despite promising development …

Muscle fatigue is considered one of the main causes of sEMG changes during repetitive
contractions performed for long periods of time. In the current work we are proposing and …

Pattern Recognition based approaches have offered great promise in the field of bio-signal
controlled prosthesis. Traditionally Surface Electromyography based Approaches (SEMG) …