Active brain area identification using EEG-NIRS signal acquisition

In this paper, we have investigated the electroencephalography (EEG) and near-infrared spectroscopy (NIRS) correlates to identify the stimulated brain region for brain-computer interface (BCI). The brain activity of four subjects is recorded using simultaneous acquisition of EEG and NIRS data for a finger tapping motor task. The active brain region is investigated using the brain maps from EEG electrodes data. The NIRS optodes are placed around the active brain region to obtain the hemodynamic correlates of oxyhemoglobin (HbO) and deoxy hemoglobin (HbR). Spatial average of the HbO and HbR is taken using the combination of channels to identify active regions related to motor activity. The results show that NIRS correlates can identify an active brain region more precisely that can be for BCI.