Hydrogel Nanoarchitectonics of a Flexible and Self‐Adhesive Electrode for Long‐Term Wireless Electroencephalogram Recording and High‐Accuracy Sustained Attention Evaluation

作者：Qingquan Han, Chao Zhang, Taoming Guo, Yajie Tian, Wei Song, Jiaxin Lei, Qi Li, Anhe Wang, Milin Zhang, Shuo Bai, Xuehai Yan · 发表于：Advanced Materials · 年份：2023 · DOI：10.1002/adma.202209606 · 被引用次数：170 · 研究领域：Advanced Sensor and Energy Harvesting Materials、EEG and Brain-Computer Interfaces、Neuroscience and Neural Engineering

Hydrogels are ideal building blocks to fabricate the next generation of electrodes for acquiring high-quality physiological electrical signals, for example, electroencephalography (EEG). However, collection of EEG signals still suffers from electrode deformation, sweating, extensive body motion and vibration, and environmental interference. Herein, polyvinyl alcohol and polyvinylpyrrolidone are selected to prepare a hydrogel network with tissue-like modulus and excellent flexibility. Additionally, polydopamine nanoparticles, obtained by polydopamine peroxidation, are integrated into the hydrogel to endow them with higher transparency, higher self-adhesion, and lower impedance. Consequently, a multichannel and wirelessly operated hydrogel electrode can establish a conformal and stable interface with tissue and illustrate high channel uniformity, low interfacial contact impedance, low power noise, long-term stability, and a tolerance to sweat and motion. Furthermore, the hydrogel electrode shows the unprecedented ability to classify the recorded high-quality prefrontal EEG signals into seven-category sustained attention with high accuracy (91.5%), having great potential applications in the assessment of human consciousness and in multifunctional diagnoses.