Abstract Purpose of Review Research in assistive and rehabilitation robotics is a growing,
promising, and challenging field emerged due to various social and medical needs such as …

In this paper the use of a commercial EMG armband for the motion control of a prototype
hand prosthesis is proposed. The mechanical design is based on an open source six …

Objective: In light of the shortcomings of current restorative brain-computer interfaces (BCI),
this study investigated the possibility of using EMG to detect hand/wrist extension movement …

Background Brain machine interface (BMI) technology has demonstrated its efficacy for
rehabilitation of paralyzed chronic stroke patients. The critical component in BMI-training …

Human movement is closely linked with muscle activities. Research has indicated that
predicting human movements with surface electromyography signals is feasible. However …

Myoelectric control of rehabilitation devices engages active recruitment of muscles for motor
task accomplishment, which has been proven to be essential in motor rehabilitation …

The poor generalization performance and heavy training burden of the gesture classification
model contribute as two main barriers that hinder the commercialization of sEMG-based …

Human motion is closely related to muscle activities. Numerous researches have proved that
it is feasible to predict human motions by using sEMG (surface Electromyography) signals …

Background Active participation of stroke survivors during robot-assisted movement therapy
is essential for sensorimotor recovery. Robot-assisted therapy contingent on movement …

Stroke is the leading cause of sensorimotor disability worldwide. Recently,
neurorehabilitation therapies based on neural interfaces have paved the way toward new …