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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Main Authors: Bin Feng, Kai Zhao, Qiucheng Su, Zhentao Yu, Hao Jin
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Electronics Letters
Online Access:https://doi.org/10.1049/ell2.12248
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spelling 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
work_keys_str_mv AT binfeng passivewirelessrespiratorysensor
AT kaizhao passivewirelessrespiratorysensor
AT qiuchengsu passivewirelessrespiratorysensor
AT zhentaoyu passivewirelessrespiratorysensor
AT haojin passivewirelessrespiratorysensor
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