Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …

Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …

The surface electromyography (sEMG)-based gesture recognition with deep learning
approach plays an increasingly important role in human-computer interaction. Existing deep …

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

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 …

The classification of surface electromyography (sEMG) signal has an important usage in the
man-machine interfaces for proper controlling of prosthetic devices with multiple degrees of …

This paper presents a heuristic fuzzy logic approach to multiple electromyogram (EMG)
pattern recognition for multifunctional prosthesis control. Basic signal statistics (mean and …

Background Surface electromyography (sEMG) signals have been used in numerous
studies for the classification of hand gestures and movements and successfully implemented …

Electromyographic (EMG) pattern recognition is essential for the control of a multifunction
myoelectric hand. The main goal of this study was to develop an efficient feature-projection …

Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …