… fNIRS and EEG may yield richer information about the cortical activities in our study. In this
study, we propose canonical correlation analysis (… maximizes the correlation between pairs of …

… EEG-fNIRS BCI channel selection using the Pearson product-moment correlation coefficient
(… In recent years, researchers have tried to explore the benefits of correlation in BCI for the …

… ) and functional near-infrared spectroscopy (fNIRS) recording and integration analysis has
… an EEG-informed-fNIRS analysis framework to investigate the neuro-correlate between …

… the whole 9 min of EEG/fNIRS data of each trial were analyzed at one time … EEG and fNIRS
recordings that produced 16 sub-band signals/components in total for each of the EEG/fNIRS …

… tion with principal component analysis (VMD-PCA), and variational mode decomposition in
combination with canonical correlation analysis (VMDD-CCA) for EEG and fNIRS modalities. …

… of analysis methods currently used in concurrent fNIRS–EEG … projects to conduct concurrent
fNIRS–EEG studies. A literature … EEG and fNIRS signal through cross-correlation analysis …

… of fusing EEG and fNIRS and associated with cortical activation, can help better identify the
correlation between brain activation and gait. In conclusion, hBCI (EEG + fNIRS) system is …

… Specifically we hypothesized a correlation between hemoglobin concentrations and evoked
potential amplitudes, and a correlation between EEG and fNIRS regarding the magnitude of …

… humans using mostly electroencephalogram (EEG) and functional … EEG and functional Near
Infrared Spectroscopy (fNIRS) to … correlation analysis (ssmCCA) to perform EEG-fNIRS data …

… correlation analysis and the data-driven cluster analysis further validated the use of fNIRS to
… Another fNIRS/EEG study revealed that during quiet sleep, spontaneous bursts of cerebral …