Background Hand rehabilitation is core to helping stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …

Electroencephalography (EEG) signals have great impact on the development of assistive
rehabilitation devices. These signals are used as a popular tool to investigate the functions …

This article presents a rehabilitation technique based on a lower-limb exoskeleton
integrated with a human-machine interface (HMI). HMI is used to record and process …

In the last decade, virtual reality (VR) training has been used extensively in video games
and military training to provide a sense of realism and environmental interaction to its users …

Despite progress in using computational approaches to inform medicine and neuroscience
in the last 30 years, there have been few attempts to model the mechanisms underlying …

The aim of this study was to investigate the neuronal network characteristics in physiological
and pathological brain aging. A database of 378 participants divided in three groups was …

Abstract Background Rhythmic Auditory Stimulation (RAS) can compensate for the loss of
automatic and rhythmic movements in patients with idiopathic Parkinson's disease (PD) …

To recognize the user's motion intention, brain-machine interfaces (BMI) usually decode
movements from cortical activity to control exoskeletons and neuroprostheses for daily …

Background and Objective. Mirror therapy is a new form of stroke rehabilitation that uses the
mirror reflection of the unaffected hand in place of the affected hand to augment movement …

Objective The objective of this study was the evaluation of the clinical and
neurophysiological effects of intensive robot-assisted hand therapy compared to intensive …