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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Main Authors: JeeEun Lee, Sun K. Yoo
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/6/1607
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author JeeEun Lee
Sun K. Yoo
author_facet JeeEun Lee
Sun K. Yoo
author_sort JeeEun Lee
collection DOAJ
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 doaj.art-c941870590184231af135bd76c5b3b962022-12-22T04:28:39ZengMDPI AGSensors1424-82202020-03-01206160710.3390/s20061607s20061607Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency SelectionJeeEun Lee0Sun K. Yoo1Graduate Program of Biomedical Engineering, Yonsei University, Seoul 03722, KoreaDepartment of Medical Engineering, Yonsei University College of Medicine, Seoul 03722, KoreaContinuous 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.https://www.mdpi.com/1424-8220/20/6/1607respiration rateradarquefrency
spellingShingle JeeEun Lee
Sun K. Yoo
Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection
Sensors
respiration rate
radar
quefrency
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 respiration rate
radar
quefrency
url https://www.mdpi.com/1424-8220/20/6/1607
work_keys_str_mv AT jeeeunlee radarbaseddetectionofrespirationratewithadaptiveharmonicquefrencyselection
AT sunkyoo radarbaseddetectionofrespirationratewithadaptiveharmonicquefrencyselection