A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios

Due to their many advantages, such as simple structure, low transmission power, strong penetration capability, high resolution, and high transmission speed, UWB (Ultra-WideBand) radars have been widely used for detecting life information in various scenarios. To effectively detect life information,...

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Main Authors: Xuezhao ZHENG, Wen DING, Yuan HUANG, Guobin CAI, Yang MA, Shengkai LIU, Bo ZHOU
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2025-02-01
Series:Leida xuebao
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Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR24154
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author Xuezhao ZHENG
Wen DING
Yuan HUANG
Guobin CAI
Yang MA
Shengkai LIU
Bo ZHOU
author_facet Xuezhao ZHENG
Wen DING
Yuan HUANG
Guobin CAI
Yang MA
Shengkai LIU
Bo ZHOU
author_sort Xuezhao ZHENG
collection DOAJ
description Due to their many advantages, such as simple structure, low transmission power, strong penetration capability, high resolution, and high transmission speed, UWB (Ultra-WideBand) radars have been widely used for detecting life information in various scenarios. To effectively detect life information, the key is to use radar echo information-processing technology to extract the breathing and heartbeat signals of the involved person from UWB radar echoes. This technology is crucial for determining life information in different scenarios, such as obtaining location information, monitoring and preventing diseases, and ensuring personnel safety. Therefore, this paper introduces a UWB radar and its classification, electromagnetic scattering mechanisms, and detection principles. It also analyzes the current state of radar echo model construction for breathing and heartbeat signals. The paper then reviews existing methods for extracting breathing and heartbeat signals, including time domain, frequency domain, and time-frequency domain analysis methods. Finally, it summarizes research progress in breathing and heartbeat signal extraction in various scenarios, such as mine rescue, earthquake rescue, medical health, and through-wall detection, as well as the main problems in current research and focus areas for future research.
format Article
id doaj-art-b1152589687941d3855f34d20535d964
institution Kabale University
issn 2095-283X
language English
publishDate 2025-02-01
publisher China Science Publishing & Media Ltd. (CSPM)
record_format Article
series Leida xuebao
spelling doaj-art-b1152589687941d3855f34d20535d9642025-01-22T06:12:25ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2025-02-0114120422810.12000/JR24154R24154A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different ScenariosXuezhao ZHENG0Wen DING1Yuan HUANG2Guobin CAI3Yang MA4Shengkai LIU5Bo ZHOU6College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaDue to their many advantages, such as simple structure, low transmission power, strong penetration capability, high resolution, and high transmission speed, UWB (Ultra-WideBand) radars have been widely used for detecting life information in various scenarios. To effectively detect life information, the key is to use radar echo information-processing technology to extract the breathing and heartbeat signals of the involved person from UWB radar echoes. This technology is crucial for determining life information in different scenarios, such as obtaining location information, monitoring and preventing diseases, and ensuring personnel safety. Therefore, this paper introduces a UWB radar and its classification, electromagnetic scattering mechanisms, and detection principles. It also analyzes the current state of radar echo model construction for breathing and heartbeat signals. The paper then reviews existing methods for extracting breathing and heartbeat signals, including time domain, frequency domain, and time-frequency domain analysis methods. Finally, it summarizes research progress in breathing and heartbeat signal extraction in various scenarios, such as mine rescue, earthquake rescue, medical health, and through-wall detection, as well as the main problems in current research and focus areas for future research.https://radars.ac.cn/cn/article/doi/10.12000/JR24154ultra-wideband (uwb) radar echoeslife information detectionrespiratory and heartbeat signalsradar echo modelssignal extraction
spellingShingle Xuezhao ZHENG
Wen DING
Yuan HUANG
Guobin CAI
Yang MA
Shengkai LIU
Bo ZHOU
A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
Leida xuebao
ultra-wideband (uwb) radar echoes
life information detection
respiratory and heartbeat signals
radar echo models
signal extraction
title A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
title_full A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
title_fullStr A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
title_full_unstemmed A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
title_short A Review of UWB Radar Detection of Respiration and Heartbeat Signals in Different Scenarios
title_sort review of uwb radar detection of respiration and heartbeat signals in different scenarios
topic ultra-wideband (uwb) radar echoes
life information detection
respiratory and heartbeat signals
radar echo models
signal extraction
url https://radars.ac.cn/cn/article/doi/10.12000/JR24154
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