聚二甲基硅氧烷
材料科学
聚酰亚胺
传感器阵列
压力传感器
脉搏(音乐)
灵敏度(控制系统)
可穿戴计算机
动态范围
计算机科学
纳米技术
电子工程
计算机视觉
嵌入式系统
图层(电子)
电信
机械工程
工程类
机器学习
探测器
作者
Tiezhu Liu,Guangyang Gou,Fupeng Gao,Pan Yao,Haoyu Wu,Yusen Guo,Minghui Yin,Jie Yang,Tiancai Wen,Ming Zhao,Tong Li,Gang Chen,Jianhai Sun,Tianjun Ma,Jianqun Cheng,Zhi‐mei Qi,Jiamin Chen,Junbo Wang,Mengdi Han,Zhen Fang,Yangyang Gao,Chunxiu Liu,Ning Xue
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-01-30
卷期号:17 (6): 5673-5685
被引量:62
标识
DOI:10.1021/acsnano.2c11897
摘要
Pressure sensors with high sensitivity, a wide linear range, and a quick response time are critical for building an intelligent disease diagnosis system that directly detects and recognizes pulse signals for medical and health applications. However, conventional pressure sensors have limited sensitivity and nonideal response ranges. We proposed a multichannel flexible pulse perception array based on polyimide/multiwalled carbon nanotube–polydimethylsiloxane nanocomposite/polyimide (PI/MPN/PI) sandwich-structure pressure sensor that can be applied for remote disease diagnosis. Furthermore, we established a mechanical model at the molecular level and guided the preparation of MPN. At the structural level, we achieved high sensitivity (35.02 kPa–1) and a broad response range (0–18 kPa) based on a pyramid-like bilayer microstructure with different upper and lower surfaces. A 27-channel (3 × 9) high-density sensor array was integrated at the device level, which can extract the spatial and temporal distribution information on a pulse. Furthermore, two intelligent algorithms were developed for extracting six-dimensional pulse information and automatic pulse recognition (the recognition rate reaches 97.8%). The results indicate that intelligent disease diagnosis systems have great potential applications in wearable healthcare devices.
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