Next Article in Journal
Vehicular Localization Enhancement via Consensus
Next Article in Special Issue
Novel Phonography-Based Measurement for Fetal Breathing Movement in the Third Trimester
Previous Article in Journal
Experimental Study of a Signal Modulation Method to Improve eLORAN Data Channel Communications
Article

Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

VTT Technical Research Centre of Finland Ltd., P.O. Box 1300, 33101 Tampere, Finland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6505; https://doi.org/10.3390/s20226505
Received: 2 October 2020 / Revised: 3 November 2020 / Accepted: 12 November 2020 / Published: 14 November 2020
(This article belongs to the Special Issue Neurophysiological Monitoring)
Remote monitoring of vital signs for studying sleep is a user-friendly alternative to monitoring with sensors attached to the skin. For instance, remote monitoring can allow unconstrained movement during sleep, whereas detectors requiring a physical contact may detach and interrupt the measurement and affect sleep itself. This study evaluates the performance of a cost-effective frequency modulated continuous wave (FMCW) radar in remote monitoring of heart rate and respiration in scenarios resembling a set of normal and abnormal physiological conditions during sleep. We evaluate the vital signs of ten subjects in different lying positions during various tasks. Specifically, we aim for a broad range of both heart and respiration rates to replicate various real-life scenarios and to test the robustness of the selected vital sign extraction methods consisting of fast Fourier transform based cepstral and autocorrelation analyses. As compared to the reference signals obtained using Embla titanium, a certified medical device, we achieved an overall relative mean absolute error of 3.6% (86% correlation) and 9.1% (91% correlation) for the heart rate and respiration rate, respectively. Our results promote radar-based clinical monitoring by showing that the proposed radar technology and signal processing methods accurately capture even such alarming vital signs as minimal respiration. Furthermore, we show that common parameters for heart rate variability can also be accurately extracted from the radar signal, enabling further sleep analyses. View Full-Text
Keywords: biomedical monitoring; biomedical signal processing; contactless; health monitoring; heart rate; heart rate variability; millimeter wave radar; respiratory rate biomedical monitoring; biomedical signal processing; contactless; health monitoring; heart rate; heart rate variability; millimeter wave radar; respiratory rate
Show Figures

Figure 1

MDPI and ACS Style

Turppa, E.; Kortelainen, J.M.; Antropov, O.; Kiuru, T. Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios. Sensors 2020, 20, 6505. https://doi.org/10.3390/s20226505

AMA Style

Turppa E, Kortelainen JM, Antropov O, Kiuru T. Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios. Sensors. 2020; 20(22):6505. https://doi.org/10.3390/s20226505

Chicago/Turabian Style

Turppa, Emmi, Juha M. Kortelainen, Oleg Antropov, and Tero Kiuru. 2020. "Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios" Sensors 20, no. 22: 6505. https://doi.org/10.3390/s20226505

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop