可穿戴计算机
压电
信号(编程语言)
计算机科学
材料科学
上传
可穿戴技术
光电子学
纳米技术
嵌入式系统
程序设计语言
操作系统
复合材料
作者
Yuxing Lin,Zhihe Long,Shan Liang,Tianyan Zhong,Lili Xing
标识
DOI:10.1088/1361-6463/ac570b
摘要
Abstract Comprehensive analysis of respiratory gases may provide noninvasive health monitoring of lung diseases, such as corona virus 2019 pneumonia. Here, a self-powered wearable mask has been fabricated for real-time monitoring and uploading exhaling oxygen information. Tetrapod ZnO (T-ZnO) nanostructures are hybridized with polyvinylidene fluoride (PVDF) that adhere to flexible fabric substrate on a mask. The piezoelectric effect of T-ZnO/PVDF is coupled with the gas sensing properties. The sensing unit can convert breath energy into piezoelectric signal without any external power supply, and the outputting piezoelectric voltage increases with increasing oxygen concentration, acting as the sensing signal. The sensing unit integrated with data processing module and wireless Bluetooth module can transmit the exhaling oxygen information to the mobile device, realizing real-time monitoring the oxygenation capacity of the lungs. This self-powered wearable approach can promote the lung diagnosis outside of clinical settings.
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