… of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) into
one … This review investigated research questions on design and usability of hybrid EEG-fNIRS …

… (fNIRS) is cost-effective and portable, and therefore is a fascinating approach to brain-computer
interface (… In this literature review, we surveyed studies of the integration of EEG/fNIRS in …

… -computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS)
and electroencephalography (EEG) … Fourth, the usable fNIRS features and EEG features are …

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

… of NIRS data can complement ongoing real-time EEG classification. Our results show that
simultaneous measurements of NIRS and EEG can … Furthermore we find that EEG and NIRS …

… iteration when standalone EEG, standalone fNIRS or combined EEG-fNIRS recordings were
… errors of standalone EEG, standalone fNIRS, and combined EEG-fNIRS as a function of …

… Compared with the average accuracy of the single mode fNIRS, … EEG-fNIRS. To compare
the classification effect among single mode EEG, single mode fNIRS, and bimodal EEG-fNIRS, …

… In the present study, we use fNIRS and electroencephalography (EEG) with the aim to
gain insights into the effects of long-term MI-based BCI training on activation patterns of the …

… detected more efficiently using a hybrid fNIRS-EEG system. Since the information contents
of EEG and fNIRS are very distinctive, the hybrid fNIRS-EEG system has a strong potential for …

… on EEG waves in their studies on drivers. Some BCI works are using EEG, fNIRS, and the
combination of EEG and fNIRS … on brain-computer design with EEG and fNIRS signals and …