可穿戴计算机
持续监测
材料科学
计算机科学
嵌入式系统
工程类
运营管理
作者
Lianxu Ye,Fan Wu,Ruixing Xu,Di Zhang,Juanjuan Lu,Chuanlong Wang,Anjiang Dong,Sichen Xu,Lejun Xue,Zixin Fan,Longjie Xu,Kaifeng Li,Dong Li,A. Kuršumović,Run Zhao,Rujun Tang,Lei Qiu,Haiyan Wang,Judith L. MacManus‐Driscoll,Qingshen Jing,Weiwei Li,Hao Yang
出处
期刊:Nano Energy
[Elsevier]
日期:2023-04-19
卷期号:112: 108460-108460
被引量:23
标识
DOI:10.1016/j.nanoen.2023.108460
摘要
Face masks are key personal protective equipment for reducing exposure to viruses and other environmental hazards such as air pollution. Integrating flexible and wearable sensors into face masks can provide valuable insights into personal and public health. The advantages that a breath-monitoring face mask requires, including multi-functional sensing ability and continuous, long-term dynamic breathing process monitoring, have been underdeveloped to date. Here, we design an effective human breath monitoring face mask based on a flexible La0.7Sr0.3MnO3 (LSMO)/Mica respiration sensor. The sensor’s capabilities and systematic measurements are investigated under two application scenes, namely clinical monitoring mode and daily monitoring mode, to monitor, recognise, and analyse different human breath status, i.e., cough, normal breath, and deep breath. This sensing system exhibits super-stability and multi-modal capabilities in continuous and long-time monitoring of the human breath. We determine that during monitoring human breath, thermal diffusion in LSMO is responsible for the change of resistance in flexible LSMO/Mica sensor. Both simulated and experimental results demonstrate good discernibility of the flexible LSMO/Mica sensor operating at different breath status. Our work opens a route for the design of novel flexible and wearable electronic devices.
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