With the continuous development of artificial intelligence technology,“brain‐computer
interfaces” are gradually entering the field of medical rehabilitation. As a result, brain …

Background Stroke is one of the most common neurological conditions that often leads to
upper limb motor impairments, significantly affecting individuals' quality of life. Rehabilitation …

An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility
through open-source hardware and firmware at a low-cost implementation. It exploits robust …

This paper uses EEG data to introduce an approach for classifying right and left-hand
classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity …

Achieving one-to-one correspondence between the subjective mind and limb movement can
further improve the effect of rehabilitation. This paper proposes a novel control scheme …

Epilepsy is a condition that affects 50 million individuals globally, significantly impacting their
quality of life. Epileptic seizures, a transient occurrence, are characterized by a spectrum of …

A brain–computer interface (BCI) can be used for function replacement through the control of
devices, such as prostheses, by identifying the subject's intent from brain activity. We …

Objective Therapeutic interventions for children and young people with dystonia and
dystonic/dyskinetic cerebral palsy are limited. EEG-based neurofeedback is emerging as a …

Background Lower limb motor dysfunction is one of the most serious consequences of
stroke; however, there is insufficient evidence for optimal rehabilitation strategies. Improving …

Brain–computer interfaces (BCI) often rely on visual stimulation and feedback. Potential end-
users with impaired vision, however, cannot use these BCIs efficiently and require a non …