SSA-VMD for UWB Radar Sensor Vital Sign Extraction

The combination of advanced radar sensor technology and smart grid has broad prospects. It is meaningful to monitor the respiration and heartbeat of grid employees under resting state through radar sensors to ensure that they are in a healthy working state. Ultra-wideband (UWB) radar sensor is suita...

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Main Authors: Huimin Yu, Wenjun Huang, Baoqiang Du
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/2/756
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author Huimin Yu
Wenjun Huang
Baoqiang Du
author_facet Huimin Yu
Wenjun Huang
Baoqiang Du
author_sort Huimin Yu
collection DOAJ
description The combination of advanced radar sensor technology and smart grid has broad prospects. It is meaningful to monitor the respiration and heartbeat of grid employees under resting state through radar sensors to ensure that they are in a healthy working state. Ultra-wideband (UWB) radar sensor is suitable for this application because of its strong penetration ability, high range resolution and low average power consumption. However, due to weak heartbeat amplitude and measurement noise, the accurate measurement of the target heart rate is a challenge. In this paper, singular spectrum analysis (SSA) is proposed to reconstruct the eigenvalues of noisy vital signs to eliminate noise peaks around the heartbeat rate; combined with the variational modal decomposition (VMD), the target vital signs can be extracted with high accuracy. The experiment confirmed that the target vital sign information can be extracted with high accuracy from ten subjects at different distances, which can play an important role in short distance human detection and vital sign monitoring.
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spelling doaj.art-a7d8d02d494245219be09ce34fc6c69b2023-12-01T00:27:00ZengMDPI AGSensors1424-82202023-01-0123275610.3390/s23020756SSA-VMD for UWB Radar Sensor Vital Sign ExtractionHuimin Yu0Wenjun Huang1Baoqiang Du2College of Information Science and Engineering, Hunan Normal University, Changsha 410081, ChinaCollege of Information Science and Engineering, Hunan Normal University, Changsha 410081, ChinaCollege of Information Science and Engineering, Hunan Normal University, Changsha 410081, ChinaThe combination of advanced radar sensor technology and smart grid has broad prospects. It is meaningful to monitor the respiration and heartbeat of grid employees under resting state through radar sensors to ensure that they are in a healthy working state. Ultra-wideband (UWB) radar sensor is suitable for this application because of its strong penetration ability, high range resolution and low average power consumption. However, due to weak heartbeat amplitude and measurement noise, the accurate measurement of the target heart rate is a challenge. In this paper, singular spectrum analysis (SSA) is proposed to reconstruct the eigenvalues of noisy vital signs to eliminate noise peaks around the heartbeat rate; combined with the variational modal decomposition (VMD), the target vital signs can be extracted with high accuracy. The experiment confirmed that the target vital sign information can be extracted with high accuracy from ten subjects at different distances, which can play an important role in short distance human detection and vital sign monitoring.https://www.mdpi.com/1424-8220/23/2/756vital sign monitoringhuman detectionultra-wideband sensorsmart grid
spellingShingle Huimin Yu
Wenjun Huang
Baoqiang Du
SSA-VMD for UWB Radar Sensor Vital Sign Extraction
Sensors
vital sign monitoring
human detection
ultra-wideband sensor
smart grid
title SSA-VMD for UWB Radar Sensor Vital Sign Extraction
title_full SSA-VMD for UWB Radar Sensor Vital Sign Extraction
title_fullStr SSA-VMD for UWB Radar Sensor Vital Sign Extraction
title_full_unstemmed SSA-VMD for UWB Radar Sensor Vital Sign Extraction
title_short SSA-VMD for UWB Radar Sensor Vital Sign Extraction
title_sort ssa vmd for uwb radar sensor vital sign extraction
topic vital sign monitoring
human detection
ultra-wideband sensor
smart grid
url https://www.mdpi.com/1424-8220/23/2/756
work_keys_str_mv AT huiminyu ssavmdforuwbradarsensorvitalsignextraction
AT wenjunhuang ssavmdforuwbradarsensorvitalsignextraction
AT baoqiangdu ssavmdforuwbradarsensorvitalsignextraction