Author(s): Pei, WH (Pei, Weihua); Wu, XT (Wu, Xiaoting); Zhang, X (Zhang, Xiang); Zha, AH (Zha, Aihua); Tian, S (Tian, Sen); Wang, YJ (Wang, Yijun); Gao, XR (Gao, Xiaorong)

Source: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING Volume: 30 Pages: 843-850 DOI: 10.1109/TNSRE.2022.3161989 Published: 2022

Abstract: Electroencephalogram (EEG) electrodes are critical devices for brain-computer interface and neurofeedback. A pre-gelled (PreG) electrode was developed in this paper for EEG signal acquisition with a short installation time and good comfort. A hydrogel probe was placed in advance on the Ag/AgCl electrode before wearing the EEG headband instead of a time-consuming gel injection after wearing the headband. The impedance characteristics were compared between the PreG electrode and the wet electrode. The PreG electrode and the wet electrode performed the Brain-Computer Interface (BCI) application experiment to evaluate their performance. The average impedance of the PreG electrode can be decreased to 43 kQ or even lower, which is higher than the wet electrode with an impedance of 8 kQ. However, there is no significant difference in classification accuracy and information transmission rate (ITR) between the PreG electrode and the wet electrode in a 40 target BCI system based on Steady State Visually Evoked Potential (SSVEP). This study validated the efficiency of the proposed PreG electrode in the SSVEP-based BCI. The proposed PreG electrode will be an excellent substitute for wet electrodes in an actual application with convenience and good comfort.

Accession Number: WOS:000778904600004

PubMed ID: 35324444

ISSN: 1534-4320

eISSN: 1558-0210

Full Text: https://ieeexplore.ieee.org/document/9740692