… in over 90% of considered subjects and increases performance by 5% on average (p < 0:01)…
an overall increase of bit-rates. Furthermore we find that EEG and NIRS complement each …

… A main goal of this paper is to use the spatial information from fNIRS to identify the single
fNIRS channel and EEG channel on each hemisphere that yields the most significant …

… relation of brain activity to performance in a multi-day experiment with an inhibitory control
task using multi-modal wearable neuroimaging modalities: EEG and fNIRS. We assessed the …

… To address this issue and improve the performance of BCI based on EEG-fNIRS, in this study,
we proposed a novel multimodal fusion method based on multi-level progressive learning …

… Improving the performance of motor imagery is a primary issue in multi-modal integration
of EEG-fNIRS, as performance using a single modality is relatively inferior to that in other BCI …

… were not provided, such as the SDS and the dynamic range, thus it is challenging to
evaluate the performance of fNIRS functionalities. Besides this, the sampling rates of …

… 5 studies compared the performances of EEG, fNIRS, EEG-fNIRS, and a fourth modality to
measure differences in performance between EEG-fNIRS and other configurations, such as …

… the use of a hybrid EEG/NIRS modality can provide better performance for a brain switch …
EEG/NIRS brain switch and compared its performance with single modality EEG- and NIRS-…

… We hypothesized that the EEG frequency-specific models are able to enhance the fNIRS …
analysis framework was developed in this study to enhance the performance of fNIRS GLM …

… by combining the measurements of EEG and fNIRS signals. In the current study, the hybrid
EEG and fNIRS signals are recorded simultaneously and then combined to improve the …