Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …

A hybrid brain computer interface (BCI) system considered here is a combination of
electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS). EEG …

Multi-modal integration, which combines multiple neurophysiological signals, is gaining
more attention for its potential to supplement single modality's drawbacks and yield reliable …

With the development of the wearable brain-computer interface (BCI), a few-channel BCI
system is necessary for its application to daily life. In this paper, we proposed a bimodal BCI …

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

Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for
neuroprosthetics. However, reports on applications with electroencephalography (EEG) …

A state-of-the-art brain–computer interface (BCI) system includes brain signal acquisition,
noise removal, channel selection, feature extraction, classification, and an application …

Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for
neuroprosthetics and assistive devices. Here we aim to investigate methods to combine …

Objective. Brain–computer interface (BCI) refers to procedures that link the central nervous
system to a device. BCI was historically performed using electroencephalography (EEG). In …

Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …