An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Children with cerebral palsy (CP) have an increased risk of cognitive impairments. This
narrative review of the literature discusses assessment of cognition in children with CP …

Neurosciences and Neuro-technology are continuously advancing and so individuals,
society and healthcare professionals have to up date themselves with advancement. Brain …

As one of the key techniques determining the overall system performances, efficient and
reliable algorithms for improving the classification accuracy of motor imagery (MI) based …

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 …

The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …

Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …

Brain–computer interface (BCI) is a powerful system for communicating between the brain
and outside world. Traditional BCI systems work based on electroencephalogram (EEG) …

Proper signal measurement and processing are crucial in electroencephalography (EEG)-
based brain-computer interfaces (BCIs), as they form the basis of brain insight and precise …