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 …

In recent years, various studies have demonstrated the potential of electroencephalographic
(EEG) signals for the development of brain-computer interfaces (BCIs) in the rehabilitation of …

Objective To assess the reliability and usefulness of an EEG-based brain-computer interface
(BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it …

Alongside the best‐known applications of brain‐computer interface (BCI) technology for
restoring communication abilities and controlling external devices, we present the state of …

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

The brain-computer interfaces (BCIs) for neurologic rehabilitation are based on the
assumption that by retraining the brain to specific activities, an ultimate improvement of …

Background Brain-computer interfaces (BCIs) have been proposed as an assistive
technology (AT) allowing people with locked-in syndrome (LIS) to use neural signals to …

Brain‐computer interfaces (BCIs) designed for motor rehabilitation use brain signals
associated with motor‐processing states to guide neuroplastic changes in a state …

This work presents the design, implementation, and evaluation of a P300-based brain-
machine interface (BMI) developed to control a robotic hand-orthosis. The purpose of this …

Existing brain-computer interface (BCI) research has made great progress in improving the
accuracy and information transfer rate (ITR) of BCI systems. However, the practicability of …