Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning‐Facilitated Human‐Interactive Sensing

作者：Wei Wang, Hailiang Zhou, Zhishan Xu, Zehui Li, Liqun Zhang, Pengbo Wan · 发表于：Advanced Materials · 年份：2024 · DOI：10.1002/adma.202401035 · 被引用次数：235 · 研究领域：Advanced Sensor and Energy Harvesting Materials、Conducting polymers and applications、Polydiacetylene-based materials and applications

Wearable epidermic electronics assembled from conductive hydrogels are attracting various research attention for their seamless integration with human body for conformally real-time health monitoring, clinical diagnostics and medical treatment, and human-interactive sensing. Nevertheless, it remains a tremendous challenge to simultaneously achieve conformally bioadhesive epidermic electronics with remarkable self-adhesiveness, reliable ultraviolet (UV) protection ability, and admirable sensing performance for high-fidelity epidermal electrophysiological signals monitoring, along with timely photothermal therapeutic performances after medical diagnostic sensing, as well as efficient antibacterial activity and reliable hemostatic effect for potential medical therapy. Herein, a conformally bioadhesive hydrogel-based epidermic sensor, featuring superior self-adhesiveness and excellent UV-protection performance, is developed by dexterously assembling conducting MXene nanosheets network with biological hydrogel polymer network for conformally stably attaching onto human skin for high-quality recording of various epidermal electrophysiological signals with high signal-to-noise ratios (SNR) and low interfacial impedance for intelligent medical diagnosis and smart human-machine interface. Moreover, a smart sign language gesture recognition platform based on collected electromyogram (EMG) signals is designed for hassle-free communication with hearing-impaired people with the help of ad...