Wearable dry electrode EEG sensing technology and implementation

Reducing noise impact to achieve a high-quality EEG signal conditioning and acquisition system is crucial in brain -computer interface technology. Although the current wet-electrode-based acquisition and amplification circuits are relatively mature, the long preparation time and the need for professional operators seriously limit the application of brain-computer interfaces. Using dry electrodes can effectively avoid these problems. This paper proposes a high signal -to -noise ratio (SNR) rigid -flex active electrode device suitable for dry electrode acquisition of weak EEG signals, as well as a high SNR EEG signal filtering, amplification, and acquisition device. Through reasonable circuit design and electrical parameter selection, the impact of noise is reduced, enabling high-quality EEG signal acquisition. In addition, the impact of the reference electrode on the acquisition performance under various conditions was studied to determine the optimal state. Under this state, the performance of the dry electrode-based EEG signal acquisition using the device was compared with the wet electrode-based data from Tsinghua University's public dataset. Experimental results of the steady-state visual evoked potential (SSVEP) show that the performance of EEG signal acquisition using the dry electrodes with this device is comparable to that of the existing wet electrode-based acquisition devices.