In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …

This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

Gesture recognition in non-intrusive muscle-computer interfaces is usually based on
windowed descriptive and discriminatory surface electromyography (sEMG) features …

Feature extraction is a significant method to extract the useful information which is hidden in
surface electromyography (EMG) signal and to remove the unwanted part and interferences …

Gesture recognition using sparse multichannel surface electromyography (sEMG) is a
challenging problem, and the solutions are far from optimal from the point of view of muscle …

This paper gives an overview of the different research works related to electromyographic
signals (EMG) classification based on Support Vector Machines (SVM). The article …

This brief review examines some of the methods used to infer central control strategies from
surface electromyogram (EMG) recordings. Among the many uses of the surface EMG in …

The development of an advanced human–machine interface has always been an interesting
research topic in the field of rehabilitation, in which biomedical signals, such as myoelectric …

Rich useful information can be obtained from the muscles and researchers can use such
information in a wide class of clinical and engineering applications by measuring surface …

Many previous studies were focused on the influence of anatomical, physical, and detection-
system parameters on recorded surface EMG signals. Most of them were conducted by …