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 …

Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …

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 …

In motor imagery (MI) based brain–computer interface (BCI) signal analysis, mu and beta
rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal …

Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …

Abstract In Internet of Medical Things (IoMT) environment, feature selection is an efficient
way of identifying the most discriminant health-related features from the original feature-set …

Objective. A motor-imagery-based brain–computer interface (MI-BCI) provides an alternative
way for people to interface with the outside world. However, the classification accuracy of MI …

A brain-computer interface (BCI) can provide a communication approach conveying brain
information to the outside. Especially, the BCIs based on motor imagery play the important …

Brain-Computer Interfaces (BCI) are systems that allow the interaction of people and devices
on the grounds of brain activity. The noninvasive and most viable way to obtain such …

This paper will focus on electroencephalogram (EEG) signal analysis with an emphasis on
common feature extraction techniques mentioned in the research literature, as well as a …