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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 19; H. 7; S. 1575
Hauptverfasser: Kim, Ju-Yeon, Park, Jae-Hyun, Jang, Se-Young, Yang, Jong-Ryul
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI 01.04.2019
MDPI AG
Schlagworte:
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
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19071575