journal article·2025-03

A Nepenthes‐Inspired Hydrogel Hybrid System for Sweat‐Wicking Electrophysiological Signal Recording during Exercises

Ganguang Yang, Zhaogang Lan, Hangyu Gong, Jiacheng Wen, Bo Pang, Yuqi Qiu, Yue Zhang, Wei Guo, Tianzhao Bu, Bin Xie, Hao Wu

Advanced Functional Materials· Volume 35· Issue 13
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Abstract

Abstract Collecting electrophysiological (EP) signals (e.g., electrocardiogram (ECG), electromyogram (EMG)) during exercises is crucial for feedback of cardiac health and muscle injuries. However, since several interferences exist in the skin interface (e.g., deformation, perspiration, and motion artifacts), commercial rigid electrodes/systems have difficulty in recording high‐fidelity EP signals. Here, a wireless Nepenthes‐inspired hydrogel (NIH) hybrid system is developed for high‐quality EP signal detection by establishing seamless‐integrated and rapidly directional sweat‐wicking device/skin interfaces during exercises. The adhesive strength of poly(vinyl alcohol)/poly(acrylic acid) (PVA/PAAC)‐based double‐network hydrogels is significantly increased by more than sixfolds. Nepenthes‐inspired microstructures are further fabricated on hydrogels to enhance the directional transport speed of droplets by 4.5 times. Notably, the NIH electrodes can maintain an intimate coupling with the skin during continuous artificial sweat injection while showing the lowest impedance and highest signal‐to‐noise ratio (>19 dB) of EMG signals under complex conditions (i.e., vibration and perspiration). Finally, the NIH hybrid system is fabricated by decorating silicone joints and hollow structures to avoid stress concentration. This system can record high‐quality ECG waveforms and heart rate curves with relative deviations of <2.6% during exercises and rest. This NIH hybrid system represents a promising platform for precise EP signal monitoring in exercising scenarios.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Flexible Electronics Research Center State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

School of Integrated Circuits Huazhong University of Science and Technology Wuhan Hubei 430074 China

Funding

National Natural Science Foundation of China

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