Passive wireless respiratory sensor
Abstract Monitoring respiratory characteristics is an important method to monitor sleep respiratory diseases such as obstructive sleep apnea syndrome (OSAS). In this letter, a passive wireless respiratory sensor is developed, which is based on a surface acoustic wave (SAW) microsensor using graphene...
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Online Access: | https://doi.org/10.1049/ell2.12248 |
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doaj-844eb73ae4e943779564204db69684182021-09-10T16:27:26ZengWileyElectronics Letters0013-51941350-911X2021-09-01571973073110.1049/ell2.12248Passive wireless respiratory sensorBin Feng0Kai Zhao1Qiucheng Su2Zhentao Yu3Hao Jin4Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 ChinaShaoxing Customs of the People's Republic of China Shaoxing 312099 ChinaKey Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 ChinaKey Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 ChinaKey Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 ChinaAbstract Monitoring respiratory characteristics is an important method to monitor sleep respiratory diseases such as obstructive sleep apnea syndrome (OSAS). In this letter, a passive wireless respiratory sensor is developed, which is based on a surface acoustic wave (SAW) microsensor using graphene oxide as a sensitive layer. The developed sensor is placed on the upper lip below the nose, which monitors human's breathing by detecting the humidity changes while inhale and exhale. To meet the fast response requirement of human respiratory, the effect of the thicknesses of graphene oxide (GO) films is investigated. Results show that the response and recovery time of the sensor can achieve 0.4 and 1.4 s, respectively, with the optimized 70‐nm thickness of GO. The respiratory rate that the sensing system can measure is greater than 33 breaths per minute, outcompeting the average number of breaths per minute from an adult (i.e. 16–20 breaths per minute). The new sensor proposed here paves the way for the fabrication of high‐performance and low‐cost respiratory sensors in human breathing monitoring in real life.https://doi.org/10.1049/ell2.12248 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bin Feng Kai Zhao Qiucheng Su Zhentao Yu Hao Jin |
spellingShingle |
Bin Feng Kai Zhao Qiucheng Su Zhentao Yu Hao Jin Passive wireless respiratory sensor Electronics Letters |
author_facet |
Bin Feng Kai Zhao Qiucheng Su Zhentao Yu Hao Jin |
author_sort |
Bin Feng |
title |
Passive wireless respiratory sensor |
title_short |
Passive wireless respiratory sensor |
title_full |
Passive wireless respiratory sensor |
title_fullStr |
Passive wireless respiratory sensor |
title_full_unstemmed |
Passive wireless respiratory sensor |
title_sort |
passive wireless respiratory sensor |
publisher |
Wiley |
series |
Electronics Letters |
issn |
0013-5194 1350-911X |
publishDate |
2021-09-01 |
description |
Abstract Monitoring respiratory characteristics is an important method to monitor sleep respiratory diseases such as obstructive sleep apnea syndrome (OSAS). In this letter, a passive wireless respiratory sensor is developed, which is based on a surface acoustic wave (SAW) microsensor using graphene oxide as a sensitive layer. The developed sensor is placed on the upper lip below the nose, which monitors human's breathing by detecting the humidity changes while inhale and exhale. To meet the fast response requirement of human respiratory, the effect of the thicknesses of graphene oxide (GO) films is investigated. Results show that the response and recovery time of the sensor can achieve 0.4 and 1.4 s, respectively, with the optimized 70‐nm thickness of GO. The respiratory rate that the sensing system can measure is greater than 33 breaths per minute, outcompeting the average number of breaths per minute from an adult (i.e. 16–20 breaths per minute). The new sensor proposed here paves the way for the fabrication of high‐performance and low‐cost respiratory sensors in human breathing monitoring in real life. |
url |
https://doi.org/10.1049/ell2.12248 |
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