Design of active dry electrodes and its evaluation for EEG acquisition

In this paper, we aim to introduce a design of active dry electrodes for EEG based BCI systems. The proposed electrodes consist of dry probes and an active circuit for easy installation and higher quality of EEG recording. To verify the evaluation of the proposed electrodes, we tried to detect alpha rhythms as a typical EEG feature by using our own EEG acquisition boards and Matlab. Experimental results show that the power of alpha rhythm reaches over 50 percent after 10 seconds when the subject closes his eyes. We will verify the performance of the proposed electrodes through various analysis such as detection of visual evoked potential (VEP) and sensorimotor rhythm (SMR) in future research.