The past decades have seen rapid and vast developments of robots for the rehabilitation of
sensorimotor deficits after damage to the central nervous system (CNS). Many of these …

Quantitative measures of smoothness play an important role in the assessment of
sensorimotor impairment and motor learning. Traditionally, movement smoothness has been …

It is generally accepted that augmented feedback, provided by a human expert or a technical
display, effectively enhances motor learning. However, discussion of the way to most …

The objective of this study was to investigate the efficacy of an Electroencephalography
(EEG)-based Motor Imagery (MI) Brain-Computer Interface (BCI) coupled with a Haptic Knob …

Advances in brain-computer interface (BCI) technology have facilitated the detection of
Motor Imagery (MI) from electroencephalography (EEG). First, we present three strategies of …

The recovery of hand function is one of the most challenging topics in stroke rehabilitation.
Although the robot‐assisted therapy has got some good results in the latest decades, the …

Background and Purpose—Chronic impairment of the arm and hand is a common
consequence of stroke. Animal and human studies indicate that brief bursts of vagus nerve …

Robot-mediated post-stroke therapy for the upper-extremity dates back to the 1990s. Since
then, a number of robotic devices have become commercially available. There is clear …

Background Robot-assisted therapy has become a promising technology in the field of
rehabilitation for poststroke patients with motor disorders. Motivation during the rehabilitation …

Background A novel electromechanical robotic-exoskeleton was designed in-house for the
rehabilitation of wrist joint and Metacarpophalangeal (MCP) joint. Objective The objective …