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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Format: | Article |
Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2025-02-01
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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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