Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137951
Title: Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring
Authors: Yang, Hui
Ji, Shaobo
Chaturvedi, Iti
Xia, Huarong
Wang, Ting
Chen, Geng
Pan, Liang
Wan, Changjin
Qi, Dianpeng
Ong, Yew-Soon
Chen, Xiaodong
Keywords: Engineering::Materials
Issue Date: 2020
Source: Yang, H., Ji, S., Chaturvedi, I., Xia, H., Wang, T., Chen, G., ... Chen, X. (2020). Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring. ACS Materials Letters, 2, 478-484. doi:10.1021/acsmaterialslett.0c00085
Journal: ACS Materials Letters
Abstract: Non-invasive on-skin electrodes record the electrical potential changes from human skin, which reflect body condition and are applied for healthcare, sports management, and modern lifestyle. However, current on-skin electrodes have poor conformal properties under sweaty condition in real-life due to decreased electrode-skin adhesion with sweat film at the interface. Here, we fabricated bio-composite electrodes based on silk fibroin (SF) through interfacial polymerization which is applicable on sweaty skin. Interfacial polymerized conductive polypyrrole (PPy) and SF are structurally interlocked and endow the whole electrode with uniform stretchability. Existence of water results in similar Young’s modulus of SF to the skin and enhanced interfacial adhesion. It keeps the electrodes conformal to skin under sweaty condition and allows reliable collection of ambulatory electrophysiological signals during sports and sweating. Wearable devices with these electrodes were used to acquire continuous and stable real-time electrocardiography (ECG) signals during running for 2 hours. The collected signals can provide information for sports management and are also analyzed by artificial intelligence to show their potential for intelligent human emotion monitoring. Our strategy provides opportunities to record long-term continuous electrophysiological signals in real-life conditions for various smart monitoring systems.
URI: https://hdl.handle.net/10356/137951
ISSN: 2639-4979
DOI: 10.1021/acsmaterialslett.0c00085
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Materials Letters, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acsmaterialslett.0c00085
Fulltext Permission: embargo_20210407
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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