Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

This review article discusses the definition and implementation of brain–computer interface
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …

The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that
provides control over computer applications directly from brain activity. However, it has …

Brain-computer interfaces (BCIs) are communication bridges between a human brain and
external world, enabling humans to interact with their environment without muscle …

Motor Imagery BCI systems have a high rate of users that are not capable of modulating their
brain activity accurately enough to communicate with the system. Several studies have …

Brain–computer interfaces (BCIs) make possible to interact with the external environment by
decoding the mental intention of individuals. BCIs can therefore be used to address basic …

Motor imagery brain–computer interfaces (MI‐BCIs) have great potential value in prosthetics
control, neurorehabilitation, and gaming; however, currently, most such systems only …

Neurological disease victims may be completely paralyzed and unable to move, but they
may still be able to think. Their brain activity is the only means by which they can interact …

Electroencephalogram (EEG) is one of the most important bioelectrical signals related to
brain activity and plays a crucial role in clinical medicine. Driven by continuously expanding …