A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies

Huey-Ru Chuang, Hsin Chih Kuo, Chien Chang Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Doppler radar for noncontact human vital-signs sensing have been reported extensively. In order to investigate the frequency effect on the detection performance of the vital signs, the muscle sphere is used to emulate the human heart organ to compute the scattering field of the incident wave radiated from the Doppler radar. The radar cross section (RCS) can then be calculated from the receiving power by radar equation. In the validated experimental measurement, a pig heart (to simulate the human heart) is used to measure the receiving power. RCS and compare with the computed value at 60 GHz. The receiving power of the Doppler radar can then be calculated from the radar equation at different frequencies. From the theoretical upper bound value of the antenna gain (under the fixed antenna size), by observing the simulated receiving-power comparison, it is found that the Doppler radar can receive more reflected power (from the spherical muscle sphere) for the higher carrier frequency (up to 60 GHz) which may have a better vital-signs sensing performance.

Original languageEnglish
Title of host publicationIEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538673959
DOIs
Publication statusPublished - 2019 May 1
Event2019 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2019 - Nanjing, China
Duration: 2019 May 62019 May 8

Publication series

NameIEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings

Conference

Conference2019 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2019
CountryChina
CityNanjing
Period19-05-0619-05-08

Fingerprint

Radar
Doppler radar
radar cross sections
Radar cross section
Vital Signs
muscles
Muscle
Muscles
radar
Antennas
antenna gain
swine
carrier frequencies
organs
antennas
Scattering
scattering
Swine

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Health Informatics
  • Instrumentation
  • Human-Computer Interaction
  • Biomedical Engineering

Cite this

Chuang, H-R., Kuo, H. C., & Chou, C. C. (2019). A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies. In IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings [8777913] (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMBIOC.2019.8777913
Chuang, Huey-Ru ; Kuo, Hsin Chih ; Chou, Chien Chang. / A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies. IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings).
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abstract = "The Doppler radar for noncontact human vital-signs sensing have been reported extensively. In order to investigate the frequency effect on the detection performance of the vital signs, the muscle sphere is used to emulate the human heart organ to compute the scattering field of the incident wave radiated from the Doppler radar. The radar cross section (RCS) can then be calculated from the receiving power by radar equation. In the validated experimental measurement, a pig heart (to simulate the human heart) is used to measure the receiving power. RCS and compare with the computed value at 60 GHz. The receiving power of the Doppler radar can then be calculated from the radar equation at different frequencies. From the theoretical upper bound value of the antenna gain (under the fixed antenna size), by observing the simulated receiving-power comparison, it is found that the Doppler radar can receive more reflected power (from the spherical muscle sphere) for the higher carrier frequency (up to 60 GHz) which may have a better vital-signs sensing performance.",
author = "Huey-Ru Chuang and Kuo, {Hsin Chih} and Chou, {Chien Chang}",
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Chuang, H-R, Kuo, HC & Chou, CC 2019, A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies. in IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings., 8777913, IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2019, Nanjing, China, 19-05-06. https://doi.org/10.1109/IMBIOC.2019.8777913

A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies. / Chuang, Huey-Ru; Kuo, Hsin Chih; Chou, Chien Chang.

IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8777913 (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chuang H-R, Kuo HC, Chou CC. A Simple Muscle-sphere Model to Approximate the Radar Cross Section of the Man Heart for Vital-Signs Detection Range Problem At Different RF Frequencies. In IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8777913. (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings). https://doi.org/10.1109/IMBIOC.2019.8777913