To make full use of electromyography (EMG) that contains rich information of muscular
activities in active rehabilitation for motor hemiparetic patients, a couple of recent studies …

In this study, we developed a robust subject-specific electromyography (EMG) pattern
classification technique to discriminate intended manual tasks from muscle activation …

Myoelectric pattern recognition techniques have been developed to infer user's intention of
performing different functional movements, which can be used to provide volitional control of …

Movement classification has been a challenging problem in neuroprosthesis control. Many
studies have taken into account the classification of movement using time and frequency …

Physical disorders are considered to be the most severe disability in patients with
hemiplegia after stroke. Currently, most studies have used motion feature extraction …

Most previous studies of electromyography (EMG) pattern recognition with both able-bodied
subjects and amputees for control of multifunctional prostheses had verified high …

Stroke is the fourth most common cause of death and can lead complex and long-term
disability. In this regard, robotic-based rehabilitation could be an alternative for motion …

This paper presents 18 fundamental movements for the rehabilitation of the stroke patient.
The objective of this research is to develop the movement sequences which are suitable for …

Few studies in the literature have researched the use of surface electromyography (sEMG)
for motor assessment post-stroke due to the complexity of this type of signal. However …

Partial or complete loss of the upper limb motor function has great impact on the activities of
daily life (ADL) of post-stroke survivors. To improve the rehabilitation effect of fine motor …