Background Robot-assisted rehabilitation is an advanced new technology in stroke
rehabilitation to provide intensive training. Post-stroke motor recovery depends on active …

A brain-machine interface (BMI) is an interface technology that uses neurophysiological
signals from the brain to control external machines. Recent invasive BMI technologies have …

The paper presents a novel viewpoint to monitor the motor function improvement during a
robot-aided rehabilitation training. Eight chronic poststroke subjects were recruited to attend …

This brief describes the assistance regulation controller (ARC), a nonlinear admittance
controller for powered orthoses (POs) and wearable robotics that simultaneously facilitates …

The use of power assistive devices that use surface electromyography (SEMG) signals may
be limited by the noisy nature of SEMG signals. The aim of this study was to investigate the …

Background Clinical scales are often used to evaluate upper-limb deficits. The objective of
this study is to investigate the parameters during voluntary arm tracking at different velocities …

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 …

Objective. This study investigates the effect of the involuntary motor activity of paretic-spastic
muscles on the classification of surface electromyography (EMG) signals. Approach. Two …

We present an approach that enables detecting intention levels of subjects in response to
task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI) …

Regarding classical rehabilitation techniques, there is insufficient evidence to state that a
particular approach is more effective in promoting gait recovery than robotic devices. More …