材料科学
可穿戴计算机
气凝胶
睡眠(系统调用)
湿度
导电体
可穿戴技术
光电子学
纳米技术
电气工程
汽车工程
导电的
作者
Xiaojun Chen,Xitong Lin,Yuanyu Huang,Yihuan Li,Haishan Lian,Zhihao Zhao,Jiangtao Zhou
标识
DOI:10.1021/acsami.6c01464
摘要
Recent advances in personalized sleep medicine and home-based health monitoring have grown rapidly, yet progress remains limited by the lack of comfortable, reliable, and durable sensors for long-term respiration tracking. Here, we present a flexible humidity sensor fabricated through a freeze-drying-assisted direct-ink-writing (DIW) 3D printing strategy. This sensor is constructed from a poly(vinyl alcohol)/nanocellulose/graphene/multiwalled carbon nanotubes (PVA/CNF/Gr/MWCNTs, PCGM) composite aerogel, with a hierarchically porous conductive architecture. This aerogel was stabilized by a biocompatible PVA matrix reinforced by nanocellulose, while graphene ensures high conductivity, and it was further enhanced by carbon nanotubes in the 3D structure. Moreover, the considerable hydrogen bonding and π-π conjugation within this hybrid material contribute to exceptional interfacial stability, water-adsorption capacity, and electrical conductivity, resulting in a remarkable humidity-sensing performance with high sensitivity, fast response/recovery times, and excellent stability across a broad humidity range. Remarkably, the sensor can accurately differentiate diverse sleep postures and respiratory patterns, including normal, snoring, and coughing. Furthermore, we further enabled a 600-sample-trained deep convolutional neural network and achieved a high-precision pattern recognition, with 100% accuracy in respiratory state classification and 97% accuracy for spoken-word recognition classification. Our work provides an integrated strategy for next-generation high-performance wearable health monitoring and human-machine interaction systems.
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