Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors

An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) bec...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 19; číslo 7; s. 1575
Hlavní autori:	Kim, Ju-Yeon, Park, Jae-Hyun, Jang, Se-Young, Yang, Jong-Ryul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI 01.04.2019 MDPI AG
Predmet:	Adult Algorithms autonomic nervous system continuous-wave Doppler radar Electrocardiography Female Heart Rate heart rate variability analysis heartbeat Humans Male peak detection Radar Respiratory Rate RMSSD SDNN Signal Processing, Computer-Assisted Telemetry Vital Signs Young Adult continuous-wave Doppler radar peak detection vital signs autonomic nervous system heartbeat SDNN RMSSD electrocardiography heart rate variability analysis
ISSN:	1424-8220, 1424-8220
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Abstract	An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) because of the operating characteristics of the radar. The proposed peak detection algorithm extracts the vital signs from the raw data. The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm. To verify whether heart rate variability (HRV) analysis similar to that with an ECG sensor is possible for a radar sensor when applying the proposed method, the continuous parameter variations of the HRV in the time domain are analyzed using data processed with the proposed peak detection algorithm. Experimental results with six subjects show that the proposed method can obtain the heart rate with high accuracy but cannot obtain the information for an HRV analysis because the proposed method cannot overcome the characteristics of the radar sensor itself.
AbstractList	An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) because of the operating characteristics of the radar. The proposed peak detection algorithm extracts the vital signs from the raw data. The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm. To verify whether heart rate variability (HRV) analysis similar to that with an ECG sensor is possible for a radar sensor when applying the proposed method, the continuous parameter variations of the HRV in the time domain are analyzed using data processed with the proposed peak detection algorithm. Experimental results with six subjects show that the proposed method can obtain the heart rate with high accuracy but cannot obtain the information for an HRV analysis because the proposed method cannot overcome the characteristics of the radar sensor itself. An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) because of the operating characteristics of the radar. The proposed peak detection algorithm extracts the vital signs from the raw data. The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm. To verify whether heart rate variability (HRV) analysis similar to that with an ECG sensor is possible for a radar sensor when applying the proposed method, the continuous parameter variations of the HRV in the time domain are analyzed using data processed with the proposed peak detection algorithm. Experimental results with six subjects show that the proposed method can obtain the heart rate with high accuracy but cannot obtain the information for an HRV analysis because the proposed method cannot overcome the characteristics of the radar sensor itself.An accurate method for detecting vital signs obtained from a Doppler radar sensor is proposed. A Doppler radar sensor can remotely obtain vital signs such as heartbeat and respiration rate, but the vital signs obtained by using the sensor do not show clear peaks like in electrocardiography (ECG) because of the operating characteristics of the radar. The proposed peak detection algorithm extracts the vital signs from the raw data. The algorithm shows the mean accuracy of 96.78% compared to the peak count from the reference ECG sensor and a processing time approximately two times faster than the gradient-based algorithm. To verify whether heart rate variability (HRV) analysis similar to that with an ECG sensor is possible for a radar sensor when applying the proposed method, the continuous parameter variations of the HRV in the time domain are analyzed using data processed with the proposed peak detection algorithm. Experimental results with six subjects show that the proposed method can obtain the heart rate with high accuracy but cannot obtain the information for an HRV analysis because the proposed method cannot overcome the characteristics of the radar sensor itself.
Author	Yang, Jong-Ryul Jang, Se-Young Park, Jae-Hyun Kim, Ju-Yeon
AuthorAffiliation	1 Department of Electronic Engineering, Yeungnam University, Gyeongsan, Gyeongbuk-do 38541, Korea; kjy102713@ynu.ac.kr (J.-Y.K.); bravopark@ynu.ac.kr (J.-H.P.) 2 Department of Life Science, Yeungnam University, Gyeongsan, Gyeongbuk-do 38541, Korea; dale47@ynu.ac.kr
AuthorAffiliation_xml	– name: 1 Department of Electronic Engineering, Yeungnam University, Gyeongsan, Gyeongbuk-do 38541, Korea; kjy102713@ynu.ac.kr (J.-Y.K.); bravopark@ynu.ac.kr (J.-H.P.) – name: 2 Department of Life Science, Yeungnam University, Gyeongsan, Gyeongbuk-do 38541, Korea; dale47@ynu.ac.kr
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Keywords	continuous-wave Doppler radar peak detection vital signs autonomic nervous system heartbeat SDNN RMSSD electrocardiography heart rate variability analysis
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This paper is an extended version of conference paper: Analysis algorithm for vital signal detection based on Doppler radar sensor system. In Proceeding of the I3S 2018, Kenting, Taiwan, 6–8 August 2018.
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SubjectTerms	Adult Algorithms autonomic nervous system continuous-wave Doppler radar Electrocardiography Female Heart Rate heart rate variability analysis heartbeat Humans Male peak detection Radar Respiratory Rate RMSSD SDNN Signal Processing, Computer-Assisted Telemetry Vital Signs Young Adult
Title	Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors
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