Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar

Guan Wei Fang, Ching Yao Huang, Chin-Lung Yang

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

Abstract

This paper presents a novel approach to simultaneously monitor multi-target vital-signs using a frequency modulation continuous wave (FMCW) radar within the resolution limitation. For a traditional system architecture on multi-target vital-signs monitoring, complicated systems are required such as phased array radar or continuous wave (CW) radar with beamforming technology. In contrast, this architecture has the advantage of enhanced resolution capability, relatively simple circuit, and low cost. By using advanced signal processing such as adaptive boundary, we can detect multi-target vital signs even though the difference of the distances to the two targets is less than the range resolution of FMCW radar. In terms of demodulation, heart rate (HR) is susceptible to the harmonic of respiratory rate (RR) using complex signal demodulation (CSD). Therefore, this paper uses an ensemble empirical mode decomposition (EEMD) algorithm to extract the intrinsic mode functions of RR and HR. Experiments show that, we can improve signal-to-noise ratio (SNR) and accuracy significantly using this algorithm. And the vital sign errors of the two targets separated at 70 cm and 50 cm are averagely 2.35% and 4.44%, respectively.

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

continuous wave radar
Continuous wave radar
Radar
Vital Signs
Frequency modulation
frequency modulation
Demodulation
Decomposition
decomposition
respiratory rate
Respiratory Rate
heart rate
demodulation
Heart Rate
Beamforming
Signal to noise ratio
Signal processing
Signal-To-Noise Ratio
beamforming
phased arrays

All Science Journal Classification (ASJC) codes

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

Cite this

Fang, G. W., Huang, C. Y., & Yang, C-L. (2019). Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. In IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings [8777810] (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMBIOC.2019.8777810
Fang, Guan Wei ; Huang, Ching Yao ; Yang, Chin-Lung. / Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. 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).
@inproceedings{a4b9b18d8214482d8c7f412addcb1d8b,
title = "Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar",
abstract = "This paper presents a novel approach to simultaneously monitor multi-target vital-signs using a frequency modulation continuous wave (FMCW) radar within the resolution limitation. For a traditional system architecture on multi-target vital-signs monitoring, complicated systems are required such as phased array radar or continuous wave (CW) radar with beamforming technology. In contrast, this architecture has the advantage of enhanced resolution capability, relatively simple circuit, and low cost. By using advanced signal processing such as adaptive boundary, we can detect multi-target vital signs even though the difference of the distances to the two targets is less than the range resolution of FMCW radar. In terms of demodulation, heart rate (HR) is susceptible to the harmonic of respiratory rate (RR) using complex signal demodulation (CSD). Therefore, this paper uses an ensemble empirical mode decomposition (EEMD) algorithm to extract the intrinsic mode functions of RR and HR. Experiments show that, we can improve signal-to-noise ratio (SNR) and accuracy significantly using this algorithm. And the vital sign errors of the two targets separated at 70 cm and 50 cm are averagely 2.35{\%} and 4.44{\%}, respectively.",
author = "Fang, {Guan Wei} and Huang, {Ching Yao} and Chin-Lung Yang",
year = "2019",
month = "5",
day = "1",
doi = "10.1109/IMBIOC.2019.8777810",
language = "English",
series = "IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings",
address = "United States",

}

Fang, GW, Huang, CY & Yang, C-L 2019, Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. in IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings., 8777810, 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.2019.8777810

Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. / Fang, Guan Wei; Huang, Ching Yao; Yang, Chin-Lung.

IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8777810 (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings).

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

TY - GEN

T1 - Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar

AU - Fang, Guan Wei

AU - Huang, Ching Yao

AU - Yang, Chin-Lung

PY - 2019/5/1

Y1 - 2019/5/1

N2 - This paper presents a novel approach to simultaneously monitor multi-target vital-signs using a frequency modulation continuous wave (FMCW) radar within the resolution limitation. For a traditional system architecture on multi-target vital-signs monitoring, complicated systems are required such as phased array radar or continuous wave (CW) radar with beamforming technology. In contrast, this architecture has the advantage of enhanced resolution capability, relatively simple circuit, and low cost. By using advanced signal processing such as adaptive boundary, we can detect multi-target vital signs even though the difference of the distances to the two targets is less than the range resolution of FMCW radar. In terms of demodulation, heart rate (HR) is susceptible to the harmonic of respiratory rate (RR) using complex signal demodulation (CSD). Therefore, this paper uses an ensemble empirical mode decomposition (EEMD) algorithm to extract the intrinsic mode functions of RR and HR. Experiments show that, we can improve signal-to-noise ratio (SNR) and accuracy significantly using this algorithm. And the vital sign errors of the two targets separated at 70 cm and 50 cm are averagely 2.35% and 4.44%, respectively.

AB - This paper presents a novel approach to simultaneously monitor multi-target vital-signs using a frequency modulation continuous wave (FMCW) radar within the resolution limitation. For a traditional system architecture on multi-target vital-signs monitoring, complicated systems are required such as phased array radar or continuous wave (CW) radar with beamforming technology. In contrast, this architecture has the advantage of enhanced resolution capability, relatively simple circuit, and low cost. By using advanced signal processing such as adaptive boundary, we can detect multi-target vital signs even though the difference of the distances to the two targets is less than the range resolution of FMCW radar. In terms of demodulation, heart rate (HR) is susceptible to the harmonic of respiratory rate (RR) using complex signal demodulation (CSD). Therefore, this paper uses an ensemble empirical mode decomposition (EEMD) algorithm to extract the intrinsic mode functions of RR and HR. Experiments show that, we can improve signal-to-noise ratio (SNR) and accuracy significantly using this algorithm. And the vital sign errors of the two targets separated at 70 cm and 50 cm are averagely 2.35% and 4.44%, respectively.

UR - http://www.scopus.com/inward/record.url?scp=85070533474&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070533474&partnerID=8YFLogxK

U2 - 10.1109/IMBIOC.2019.8777810

DO - 10.1109/IMBIOC.2019.8777810

M3 - Conference contribution

AN - SCOPUS:85070533474

T3 - IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings

BT - IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Fang GW, Huang CY, Yang C-L. Simultaneous Detection of Multi-Target Vital Signs Using EEMD Algorithm Based on FMCW Radar. In IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8777810. (IEEE MTT-S 2019 International Microwave Biomedical Conference, IMBioC 2019 - Proceedings). https://doi.org/10.1109/IMBIOC.2019.8777810