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Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios
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 a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696080/ https://www.ncbi.nlm.nih.gov/pubmed/33202567 http://dx.doi.org/10.3390/s20226505 |
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author | Turppa, Emmi Kortelainen, Juha M. Antropov, Oleg Kiuru, Tero |
author_facet | Turppa, Emmi Kortelainen, Juha M. Antropov, Oleg Kiuru, Tero |
author_sort | Turppa, Emmi |
collection | PubMed |
description | 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 [Formula: see text] % (86% correlation) and [Formula: see text] % (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. |
format | Online Article Text |
id | pubmed-7696080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76960802020-11-29 Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios Turppa, Emmi Kortelainen, Juha M. Antropov, Oleg Kiuru, Tero Sensors (Basel) Article 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 [Formula: see text] % (86% correlation) and [Formula: see text] % (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. MDPI 2020-11-14 /pmc/articles/PMC7696080/ /pubmed/33202567 http://dx.doi.org/10.3390/s20226505 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Turppa, Emmi Kortelainen, Juha M. Antropov, Oleg Kiuru, Tero Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title | Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title_full | Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title_fullStr | Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title_full_unstemmed | Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title_short | Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios |
title_sort | vital sign monitoring using fmcw radar in various sleeping scenarios |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696080/ https://www.ncbi.nlm.nih.gov/pubmed/33202567 http://dx.doi.org/10.3390/s20226505 |
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