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Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar

The heart is an important organ that maintains human life activities, and its movement reflects its health status. Utilizing electromagnetic waves as a sensing tool, radar sensors enable noncontact measurement of cardiac motion, offering advantages over conventional contact-based methods in terms of...

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Detalles Bibliográficos
Autores principales: Qu, Kui, Wei, Lei, Zhang, Rongfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669854/
https://www.ncbi.nlm.nih.gov/pubmed/37998157
http://dx.doi.org/10.3390/bios13110982
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author Qu, Kui
Wei, Lei
Zhang, Rongfu
author_facet Qu, Kui
Wei, Lei
Zhang, Rongfu
author_sort Qu, Kui
collection PubMed
description The heart is an important organ that maintains human life activities, and its movement reflects its health status. Utilizing electromagnetic waves as a sensing tool, radar sensors enable noncontact measurement of cardiac motion, offering advantages over conventional contact-based methods in terms of comfort, hygiene, and efficiency. In this study, the high-precision displacement detection algorithm of radar is applied to measure cardiac motion. Experimental is conducted using a single out-channel frequency modulated continuous wave (FMCW) radar operating in the ISM frequency band with a center frequency of 24 GHz and a bandwidth of 150 MHz. Since the detection signal is influenced by both respiratory and heartbeat movements, it is necessary to eliminate the respiratory signal from the measurement signal. Firstly, the harmonic composition of the respiratory signal is analyzed, and a method is proposed to calculate the parameters of the respiratory waveform by comparing the respiratory waveform coverage area with the area of the circumscribed rectangle. This allows for determining the number of respiratory harmonics, assisting in determining whether respiratory harmonics overlap with the frequency range of the heartbeat signal. Subsequently, a more accurate cardiac motion waveform is extracted. A reference basis is provided for extracting cardiac health information from radar measurement waveforms by analyzing the corresponding relationship between certain extreme points of the waveform and characteristic positions of the electrocardiogram (ECG) signal. This is achieved by eliminating the fundamental frequency component of the heartbeat waveform to emphasize other spectral components present in the heartbeat signal and comparing the heartbeat waveform, the heartbeat waveform with the fundamental frequency removed, and the heartbeat velocity waveform with synchronized ECG signals.
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spelling pubmed-106698542023-11-12 Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar Qu, Kui Wei, Lei Zhang, Rongfu Biosensors (Basel) Article The heart is an important organ that maintains human life activities, and its movement reflects its health status. Utilizing electromagnetic waves as a sensing tool, radar sensors enable noncontact measurement of cardiac motion, offering advantages over conventional contact-based methods in terms of comfort, hygiene, and efficiency. In this study, the high-precision displacement detection algorithm of radar is applied to measure cardiac motion. Experimental is conducted using a single out-channel frequency modulated continuous wave (FMCW) radar operating in the ISM frequency band with a center frequency of 24 GHz and a bandwidth of 150 MHz. Since the detection signal is influenced by both respiratory and heartbeat movements, it is necessary to eliminate the respiratory signal from the measurement signal. Firstly, the harmonic composition of the respiratory signal is analyzed, and a method is proposed to calculate the parameters of the respiratory waveform by comparing the respiratory waveform coverage area with the area of the circumscribed rectangle. This allows for determining the number of respiratory harmonics, assisting in determining whether respiratory harmonics overlap with the frequency range of the heartbeat signal. Subsequently, a more accurate cardiac motion waveform is extracted. A reference basis is provided for extracting cardiac health information from radar measurement waveforms by analyzing the corresponding relationship between certain extreme points of the waveform and characteristic positions of the electrocardiogram (ECG) signal. This is achieved by eliminating the fundamental frequency component of the heartbeat waveform to emphasize other spectral components present in the heartbeat signal and comparing the heartbeat waveform, the heartbeat waveform with the fundamental frequency removed, and the heartbeat velocity waveform with synchronized ECG signals. MDPI 2023-11-12 /pmc/articles/PMC10669854/ /pubmed/37998157 http://dx.doi.org/10.3390/bios13110982 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qu, Kui
Wei, Lei
Zhang, Rongfu
Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title_full Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title_fullStr Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title_full_unstemmed Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title_short Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar
title_sort noncontact cardiac activity detection based on single-channel ism band fmcw radar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669854/
https://www.ncbi.nlm.nih.gov/pubmed/37998157
http://dx.doi.org/10.3390/bios13110982
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