The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

In this paper we review classification algorithms used to design brain–computer interface
(BCI) systems based on electroencephalography (EEG). We briefly present the commonly …

We provide an open access dataset for hybrid brain–computer interfaces (BCIs) using
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …

Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …

Objective. To develop and implement a novel approach which combines the technique of
scout EEG source imaging (ESI) with convolutional neural network (CNN) for the …

It is widely accepted in the brain computer interface (BCI) research community that
neurological phenomena are the only source of control in any BCI system. Artifacts are …

Interest in develo** a new method of man-to-machine communication-a brain-computer
interface (BCI)-has grown steadily over the past few decades. BCIs create a new …

In the study of brain computer interfaces, a novel method was proposed in this paper for the
feature extraction of electroencephalogram (EEG). It was based on wavelet packet …

In this work we present the first comprehensive survey of Brain Interface (BI) technology
designs published prior to January 2006. Detailed results from this survey, which was based …

A brain-computer interface (BCI) provides a way to develop interaction between a brain and
a computer. The communication is developed as a result of neural responses generated in …