As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Using electromyogram (EMG) signals to control upper-limb prostheses is an important
clinical option, offering a person with amputation autonomy of control by contracting residual …

Replacing the human hand with artificial devices of equal capability and effectiveness is a
long-standing challenge. Even the most advanced hand prostheses, which have several …

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 …

Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a
close to natural replacement for the lost hand, the user should be provided with the rich …

In pattern recognition-based myoelectric control, high accuracy for multiple discriminated
motions is presented in most of related literature. However, there is a gap between the …

The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

Simultaneous implementation of high signal‐to‐noise ratio (SNR) but low crosstalk is of
great importance for weak surface electromyography (sEMG) signals when precisely driving …

We investigate the problem of achieving robust control of hand prostheses by the
electromyogram (EMG) of transradial amputees in the presence of variable force levels, as …

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