The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as gras** to extraordinary ones such as virtuoso …

Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …

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

ABSTRACT A decade ago, a group of researchers from academia and industry identified a
dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis …

A novel model based on deep learning is proposed to estimate kinematic information for
myoelectric control from multi‐channel electromyogram (EMG) signals. The neural …

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

An important barrier to commercialization of pattern recognition myoelectric control of
prostheses is the lack of robustness to confounding factors such as electrode shift, skin …

Control algorithms for upper limb myoelectric prostheses have been in development since
the mid-1940s. Despite advances in computing power and in the performance of these …