Soft ionic-hydrogel electrodes for electroencephalography signal recording

被引:28
|
作者
Sheng, XinJun [1 ,2 ]
Qin, Zhun [1 ]
Xu, HaiPeng [1 ]
Shu, XiaoKang [1 ]
Gu, GuoYing [1 ,2 ]
Zhu, XiangYang [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Robot, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
brain-computer interface; EEG; electrodes; ionic hydrogel; soft materials; GEL-FREE ELECTRODES; EEG; IMPEDANCE;
D O I
10.1007/s11431-020-1644-6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Wet gel electrodes have been widely used for electroencephalography (EEG) signal recording, which generally causes skin abrasion and longer preparation time. In this paper, we present soft ionic-hydrogel based electrodes to overcome such drawbacks. In order to conveniently measure the EEG signals, we design the claw-like and patch-like structures for robust connection between metal (Ag/AgCl) electrodes and skin scalps. Next, we experimentally show that the soft ionic-hydrogel based electrodes have similar performance with the conventional wet gel electrodes in terms of the short-circuit noise, electrical impedance, and skin-electrode contact impedance on unprepared human skin, significantly better than dry electrodes and water-based electrodes. We further perform the EEG measurements and steady-state visual evoked potentials (SSVEP) experiments with five subjects to verify the effectiveness of the soft ionic-hydrogel based electrodes. The experimental results demonstrate that our developed soft ionic-hydrogel electrodes can record high-quality EEG signals in a fast and clean way, being a compelling option for EEG-based brain-computer interfaces.
引用
收藏
页码:273 / 282
页数:10
相关论文
共 50 条
  • [1] Soft ionic-hydrogel electrodes for electroencephalography signal recording
    SHENG Xin Jun
    QIN Zhun
    XU Hai Peng
    SHU Xiao Kang
    GU Guo Ying
    ZHU Xiang Yang
    Science China(Technological Sciences), 2021, 64 (02) : 273 - 282
  • [2] Soft ionic-hydrogel electrodes for electroencephalography signal recording
    XinJun Sheng
    Zhun Qin
    HaiPeng Xu
    XiaoKang Shu
    GuoYing Gu
    XiangYang Zhu
    Science China Technological Sciences, 2021, 64 : 273 - 282
  • [3] Soft ionic-hydrogel electrodes for electroencephalography signal recording
    SHENG Xin Jun
    QIN Zhun
    XU Hai Peng
    SHU Xiao Kang
    GU Guo Ying
    ZHU Xiang Yang
    Science China(Technological Sciences), 2021, (02) : 273 - 282
  • [4] Performance characterization of ionic-hydrogel based strain sensors
    XU HaiPeng
    SHEN ZeQun
    GU GuoYing
    Science China(Technological Sciences), 2020, (06) : 923 - 930
  • [5] Performance characterization of ionic-hydrogel based strain sensors
    Xu HaiPeng
    Shen ZeQun
    Gu GuoYing
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 63 (06) : 923 - 930
  • [6] Performance characterization of ionic-hydrogel based strain sensors
    XU HaiPeng
    SHEN ZeQun
    GU GuoYing
    Science China(Technological Sciences), 2020, 63 (06) : 923 - 930
  • [7] Performance characterization of ionic-hydrogel based strain sensors
    HaiPeng Xu
    ZeQun Shen
    GuoYing Gu
    Science China Technological Sciences, 2020, 63 : 923 - 930
  • [8] In Vivo Chronic Brain Cortex Signal Recording Based on a Soft Conductive Hydrogel Biointerface
    Rinoldi, Chiara
    Ziai, Yasamin
    Zargarian, Seyed Shahrooz
    Nakielski, Pawel
    Zembrzycki, Krzysztof
    Bayan, Mohammad Ali Haghighat
    Zakrzewska, Anna Beata
    Fiorelli, Roberto
    Lanzi, Massimiliano
    Kostrzewska-Ksiezyk, Agnieszka
    Czajkowski, Rafal
    Kublik, Ewa
    Kaczmarek, Leszek
    Pierini, Filippo
    ACS APPLIED MATERIALS & INTERFACES, 2023, 15 (05) : 6283 - 6296
  • [9] Bright Bifacial White-Light Illumination by Highly Deformable Electroluminescent Devices Based on Transparent Ionic-Hydrogel Electrodes and Quantum-Dot Color Conversion
    Zhu, Yijie
    Hong, Ahyoung
    Yoon, Sukyoung
    Park, Jeongbin
    Yang, Heesun
    Kwak, Jeonghun
    Yoon, Jinhwan
    SMALL, 2024, 20 (37)
  • [10] Recording a Cortical Signal from a Laboratory Mouse Brain Using Electrodes Based on an Electrically Conductive Hydrogel
    A. O. Romanov
    A. S. Migalev
    D. A. Kirillova
    R. N. Magaramov
    A. V. Rybakova
    A. P. Trashkov
    P. M. Gotovtsev
    Nanobiotechnology Reports, 2024, 19 (6) : 1068 - 1074