Applications of TVF-EMD in Vital Signal Detection for UWB Radar
When using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2021/2136614 |
id |
doaj-0e3c21cda22f49adb5754491dfffe758 |
---|---|
record_format |
Article |
spelling |
doaj-0e3c21cda22f49adb5754491dfffe7582021-08-30T00:00:11ZengHindawi LimitedJournal of Sensors1687-72682021-01-01202110.1155/2021/2136614Applications of TVF-EMD in Vital Signal Detection for UWB RadarZhen Yang0Chi Ma1Qingjie Qi2Xin Li3Yan Li4Faculty of Electrical and Control EngineeringFaculty of Electrical and Control EngineeringEmergency Research InstituteFaculty of Electrical and Control EngineeringFaculty of Electrical and Control EngineeringWhen using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is based on impulse ultra-wideband (UWB) radar. The range is determined based on the continuous wavelet transform (CWT) of the variance of the received signals. In addition, the TVF-EMD method is used to obtain the information of respiration and heartbeat frequency. Fifteen sets of experiments were carried out, and the echo radar signals of 5 volunteers at 3 different distances were collected. The analysis results of the measured data showed that the proposed algorithm can accurately and effectively extract the distance to the target human and its vital signs information, which shows vast prospects in research and application.http://dx.doi.org/10.1155/2021/2136614 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhen Yang Chi Ma Qingjie Qi Xin Li Yan Li |
spellingShingle |
Zhen Yang Chi Ma Qingjie Qi Xin Li Yan Li Applications of TVF-EMD in Vital Signal Detection for UWB Radar Journal of Sensors |
author_facet |
Zhen Yang Chi Ma Qingjie Qi Xin Li Yan Li |
author_sort |
Zhen Yang |
title |
Applications of TVF-EMD in Vital Signal Detection for UWB Radar |
title_short |
Applications of TVF-EMD in Vital Signal Detection for UWB Radar |
title_full |
Applications of TVF-EMD in Vital Signal Detection for UWB Radar |
title_fullStr |
Applications of TVF-EMD in Vital Signal Detection for UWB Radar |
title_full_unstemmed |
Applications of TVF-EMD in Vital Signal Detection for UWB Radar |
title_sort |
applications of tvf-emd in vital signal detection for uwb radar |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-7268 |
publishDate |
2021-01-01 |
description |
When using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is based on impulse ultra-wideband (UWB) radar. The range is determined based on the continuous wavelet transform (CWT) of the variance of the received signals. In addition, the TVF-EMD method is used to obtain the information of respiration and heartbeat frequency. Fifteen sets of experiments were carried out, and the echo radar signals of 5 volunteers at 3 different distances were collected. The analysis results of the measured data showed that the proposed algorithm can accurately and effectively extract the distance to the target human and its vital signs information, which shows vast prospects in research and application. |
url |
http://dx.doi.org/10.1155/2021/2136614 |
work_keys_str_mv |
AT zhenyang applicationsoftvfemdinvitalsignaldetectionforuwbradar AT chima applicationsoftvfemdinvitalsignaldetectionforuwbradar AT qingjieqi applicationsoftvfemdinvitalsignaldetectionforuwbradar AT xinli applicationsoftvfemdinvitalsignaldetectionforuwbradar AT yanli applicationsoftvfemdinvitalsignaldetectionforuwbradar |
_version_ |
1721186181909053440 |