Boron and nitrogen co-doped vertical graphene electrodes for scalp electroencephalogram recording

被引:20
作者
Zhai, Pengfei [1 ]
Xuan, Xiuwei [2 ]
Li, Hongji [1 ]
Li, Cuiping [2 ]
Li, Penghai [2 ]
Li, Mingji [2 ]
机构
[1] Tianjin Univ Technol, Sch Chem & Chem Engn, Tianjin Key Lab Organ Solar Cells & Photochem Con, Tianjin Key Lab Drug Targeting & Bioimaging, Tianjin 300384, Peoples R China
[2] Tianjin Univ Technol, Tianjin Key Lab Film Elect & Commun Devices, Engn Res Ctr Optoelect Devices & Commun Technol, Minist Educ,Sch Integrated Circuit Sci & Engn, Tianjin 300384, Peoples R China
关键词
Electroencephalogram; Boron and nitrogen co-doped vertical  graphene; CVD; Steady-state visual evoked potentials; CARBON; OXIDE; ELECTROCATALYST; AEROGELS;
D O I
10.1016/j.carbon.2021.12.056
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Graphene has shown immense potential for applications in monitoring scalp electroencephalogram (EEG) signals. However, the radial head shape, high-resistance scalp cuticle, and hair prevent graphene from contacting skin, resulting in high contact impedances and low signal-to-noise ratios (SNRs) in EEG signals. Therefore, B and N co-doped vertical graphene (BNVG) electrodes are synthesized to improve the skin affinity and sweat adsorption capacity. X-ray photoelectron spectroscopy results show that the series of BNVG electrodes comprise B-doping contents of 1.25-9.85 at% and N-doping contents of 1.12-6.48 at%. A systematic analysis of the effects of B and N atom contents on the real-time scalp-contact resistances, EEG correlation coefficients between BNVG and Ag/AgCl electrodes, and SNRs of the EEG signals are conducted. The BNVG electrode comprising 4.47 at% B and 3.18 at% N is determined as the optimum electrode for scalp EEG signal acquisition. Furthermore, an EEG cap assembled with 19 optimized BNVG electrodes records spontaneous and evoked EEG signals. The BNVG-based EEG cap used with sweat or aqueous NaCl solution is confirmed to be advantageous and can be applied to clinical and brain-computer interface systems. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:71 / 80
页数:10
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