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Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection

Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respirati...

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Detalles Bibliográficos
Autores principales: Lee, JeeEun, Yoo, Sun K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146735/
https://www.ncbi.nlm.nih.gov/pubmed/32183139
http://dx.doi.org/10.3390/s20061607
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author Lee, JeeEun
Yoo, Sun K.
author_facet Lee, JeeEun
Yoo, Sun K.
author_sort Lee, JeeEun
collection PubMed
description Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respiration measurements. The radar sensor had a high precision and could even be used in the dark. It could also be used continuously regardless of time and place. The radar sensor relied on the periodicity of respiration to detect the respiration rate. A respiration adaptive interval was set and the respiration rate was detected through harmonic quefrency selection. As a result, it was confirmed that there was no difference between the respiratory rate measured using a respiration belt and the respiratory rate detected using a radar sensor. Furthermore, case studies on changes in the radar position and about measurement for long periods confirmed that the radar sensor could detect respiration rate continuously regardless of the position and measurement duration.
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spelling pubmed-71467352020-04-20 Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection Lee, JeeEun Yoo, Sun K. Sensors (Basel) Article Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respiration measurements. The radar sensor had a high precision and could even be used in the dark. It could also be used continuously regardless of time and place. The radar sensor relied on the periodicity of respiration to detect the respiration rate. A respiration adaptive interval was set and the respiration rate was detected through harmonic quefrency selection. As a result, it was confirmed that there was no difference between the respiratory rate measured using a respiration belt and the respiratory rate detected using a radar sensor. Furthermore, case studies on changes in the radar position and about measurement for long periods confirmed that the radar sensor could detect respiration rate continuously regardless of the position and measurement duration. MDPI 2020-03-13 /pmc/articles/PMC7146735/ /pubmed/32183139 http://dx.doi.org/10.3390/s20061607 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
Lee, JeeEun
Yoo, Sun K.
Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title_full Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title_fullStr Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title_full_unstemmed Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title_short Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
title_sort radar-based detection of respiration rate with adaptive harmonic quefrency selection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146735/
https://www.ncbi.nlm.nih.gov/pubmed/32183139
http://dx.doi.org/10.3390/s20061607
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