Claw-shaped flexible and low-impedance conductive polymer electrodes for EEG recordings: Anemone dry electrode

Zhong Yan Shi, Bo Jiang, Shi Chao Liang, Jiang Tao Zhang, Ding Jie Suo, Jing Long Wu, Duan Duan Chen, Guang Ying Pei*, Tian Yi Yan*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

Electroencephalogram (EEG) signals provide important brain information in healthcare settings. Wet electrodes have several limitations, including their time-consuming preparation and no long-term acquisition, and dry electrodes have become a promising candidate. However, dry electrodes face several challenges related to signal quality, comfort, conductivity and cost. This study aims to develop and evaluate a novel dry electrode for EEG recordings. The electrode material properties are characterized by electrochemical, mechanical force, and skin measurements. The electrode performance is evaluated by comparing the impedance, signal-to-noise ratio (SNR), and EEG signal features of the proposed electrode with those of a wet electrode and two commercial dry electrodes. The dry electrode design is based on the biological structure of the sea anemone and demonstrates an improved scalp fit and reduced signal noise and motion artifacts. The electrode materials include advanced conducting polymers combined with thermoplastic elastomers (TPEs) and carbon nanotubes (CNTs), which exhibit good electrical conductivity, mechanical properties, and safety. A low-cost injection molding fabrication method is proposed. The dry electrodes show a scalp contact impedance of 7 kΩ at 20 Hz, which is lower than that of wet and commercial dry electrodes. Resting-state EEG and event-related potential signals collected by the anemone dry electrode achieved more than 90% similarity with signals acquired by wet electrodes. Thus, a low-cost, comfortable anemone dry electrode that exhibits excellent EEG recording performance is presented. The anemone dry electrode represents an important technological advance in material and structural design for EEG recording sensors.

源语言英语
页(从-至)255-266
页数12
期刊Science China Technological Sciences
66
1
DOI
出版状态已出版 - 1月 2023

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