A wearable hydrogel-based EEG patch device for human fatigue assessment

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Authors: Mingxu Wang, Jun Ma, Jixiao Guo, Cunkai Zhou, Changlei Ge, Yuchen Zhou, Yongfeng Wang, Mingming Hao, Lianhui Li, Ting Zhang
Cited by: 1
References: 47

Abstract

Abstract Accurate and quantitative evaluation of human fatigue status is of crucial importance to safe outdoor operations and personal health management. Electroencephalography (EEG) technology offers a non-invasive, rapid and high-accuracy feasible solution, yet it still faces challenges such as large device volume and unstable electrode-skin interface. In this work, we propose a wearable intelligent EEG platform for real-time monitoring and assessment of human fatigue status. A flexible dual-channel (FP1, FP2) EEG patch was fabricated in flexible PET film by coupling screen-printed carbon powder/graphene oxide electrodes with a biocompatible polyacrylic acid/polyvinyl alcohol (PAA/PVA) hydrogel. Among them, the composite carbon structure and the hydrogel provide a low interfacial impedance (98.3 Ω·cm 2 @1 kHz), skin-matched mechanical modulus (3.5 kPa) and a skin-conformal (296 kPa adhesion strength) electronic interface, respectively, laying a solid foundation for acquiring high-quality and stable EEG signals. Furthermore, a smartphone APP was developed to wirelessly operate the EEG platform, as well as to transmit and process real-time EEG data. To verify the effectiveness, a multi-state simulation-induced fatigue test was conducted. The results demonstrate that the proposed EEG platform can detect the EEG spectrum and conduct rhythmic classification processing, in which the θ / β value (>1.5) could serve as a reliable indicator of fatigue, enabling quantitative evaluation and early warning of human fatigue.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Gas Sensing Nanomaterials and Sensors Emotion and Mood Recognition

Publication details

Journal / source
Journal of Semiconductors
Publisher
IOP Publishing
Volume
47
Issue
8
Pages
082604–082604
Publication date
1 August 2026