2019
DOI: 10.1109/access.2019.2921240
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High-Accuracy Real-Time Monitoring of Heart Rate Variability Using 24 GHz Continuous-Wave Doppler Radar

Abstract: This paper presents a novel algorithm for the estimation of heart rate variability (HRV) features using 24-GHz continuous-wave Doppler radar with quadrature architecture. The proposed algorithm combines frequency and time domain analysis for high-accuracy estimation of beat-to-beat intervals (BBIs). Initially, band pass filtered in-phase (I) and quadrature (Q) radar components are fused into a single combined signal that contains information on the heartbeats. Its frequency domain analysis is used for coarse h… Show more

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Cited by 125 publications
(85 citation statements)
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“…Heart rate variability (HRV) provides the time variation in beat-to-beat interval and is particularly important for correlating the cardiovascular regulatory system response to stress, illness and demands [167]. In addition to stress and emotion recognition, HRV assessment can be important for anxiety treatment and vigilance monitoring [168]. Doppler radars have the capability of detecting beat-to-beat signal of human cardiac activities with acceptable accuracy.…”
Section: Heart Rate Variability Assessment Using Vital Signs Radarmentioning
confidence: 99%
See 1 more Smart Citation
“…Heart rate variability (HRV) provides the time variation in beat-to-beat interval and is particularly important for correlating the cardiovascular regulatory system response to stress, illness and demands [167]. In addition to stress and emotion recognition, HRV assessment can be important for anxiety treatment and vigilance monitoring [168]. Doppler radars have the capability of detecting beat-to-beat signal of human cardiac activities with acceptable accuracy.…”
Section: Heart Rate Variability Assessment Using Vital Signs Radarmentioning
confidence: 99%
“…The results obtained from the radar showed high accuracy in detecting beat-to-beat interval as small as 1 ms. Furthermore, the authors in [168] performed the HRV measurement experiment on 10 healthy subjects using a 24 GHz Doppler radar and novel algorithm. The measurement results show a maximum mean relative error of 2.03% for the beat-to-beat interval (BBI) acquisition.…”
Section: Heart Rate Variability Assessment Using Vital Signs Radarmentioning
confidence: 99%
“…After amplification and demodulation by the LNA and the subharmonic DC mixer, respectively, the corresponding Doppler frequency‐shift is quickly analyzed through the elegant algorithm of the DSP module. The used algorithms of the DSP are based on the theory and algorithms in References 1 and 2, Equations ) (which will be discussed later), the cross‐correlation method and the signal processing procedure in Reference 7, and the frequency and time domain analysis method for high‐accuracy estimation in Reference 8. This is the way to estimate the water flow velocity.…”
Section: Radar Architecturementioning
confidence: 99%
“…A 24 GHz ISM (industrial, scientific, and medical) band Doppler radar has been applied in many fields, such as weather forecasting, speed detection of vehicles, detection of incoming and outcoming aircrafts, discovery of new planets and stars, and measurement of heartbeat and blood pressure 7‐11 . However, there is no report of 24 GHz Doppler radar for water resource management applications.…”
Section: Introductionmentioning
confidence: 99%
“…What's more, contact sensors can't be used for some special patients, such as infants or psychiatric patients who have sensitive skin, or burned patients who have damaged skin [8]. These problems of contact sensors can be overcome well by non-contact vital sign detection sensors [9]. For example, these non-contact detection sensors can achieve long-term detection of human without making them uncomfortable [10,11].…”
Section: Introductionmentioning
confidence: 99%