Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring

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 t...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang, Hui, Ji, Shaobo, Chaturvedi, Iti, Xia, Huarong, Wang, Ting, Chen, Geng, Pan, Liang, Wan, Changjin, Qi, Dianpeng, Ong, Yew-Soon, Chen, Xiaodong
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/137951
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.