A 3.55-μm ultrathin, skin-like mechanoresponsive, compliant, and seamless ionic conductive electrode for epidermal electrophysiological signal acquisition and human-machine-interaction

Author:

Zhang Likun1,Chen Zhenglin1,Ying Huazhang1,Du Zhicheng1,Song Ziwu1,Chen Jiaju1,Yuan Xi1,Yang Canhui2,Pandey Vijay1,Zhang Can Yang1,Yu Dongmei3,Ding Wenbo1,Xing Xinhui1,Ji Jiansong4,Yan Chenggang5,Qin Peiwu1

Affiliation:

1. Tsinghua university

2. Southern University of Science and Technology

3. Shandong University

4. The Fifth Affiliated Hospital of Wenzhou Medical University

5. Hangzhou Dianzi University

Abstract

Abstract Flexible ionic conductive electrodes, as a fundamental component for electrical signal transmission, play a crucial role in skin-surface electronic devices. Developing a skin-seamlessly electrode that can effectively capture long-term, artifacts-free, and high-quality electrophysiological signals, remains a challenge. Herein, we report an ultra-thin and dry electrode consisting of deep eutectic solvent (DES) and zwitterions (CEAB), which exhibit significantly lower reactance and noise in both static and dynamic monitoring compared to standard Ag/AgCl gel electrodes. Our electrodes have skin-like mechanical properties (strain-rigidity relationship and flexibility), outstanding adhesion, and high electrical conductivity. Consequently, they excel in consistently capturing high-quality epidermal biopotential signals, such as the electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG) signals. Furthermore, we demonstrate the promising potential of the electrodes in clinical applications by effectively distinguishing aberrant EEG signals associated with depressive patients. Meanwhile, through the integration of CEAB electrodes with digital processing and advanced algorithms, valid gesture control of artificial limbs based on EMG signals is achieved, highlighting its capacity to significantly enhance human-machine interaction.

Funder

National Natural Science Foundation of China

Publisher

Research Square Platform LLC

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