Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

This document provides a review of the techniques and therapies used in gait rehabilitation
after stroke. It also examines the possible benefits of including assistive robotic devices and …

Stroke is among the leading causes of long-term disabilities leaving an increasing number
of people with cognitive, affective and motor impairments depending on assistance in their …

In recent years, new research has brought the field of electroencephalogram (EEG)-based
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …

Motor recovery after stroke is related to neural plasticity, which involves developing new
neuronal interconnections, acquiring new functions, and compensating for impairment …

Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke
patients when applied over a large number of sessions. Here we evaluated the effect and …

Stroke is one of the leading causes of long-term disability today; therefore, many research
efforts are focused on designing maximally effective and efficient treatment methods. In …

Objective To compare response to upper-limb treatment using robotics plus motor learning
(ML) versus functional electrical stimulation (FES) plus ML versus ML alone, according to a …