Second Harmonic Weighted Reconstruction for Non-Contact Monitoring Heart Rate

Achieving high-accuracy and non-contact heart rate monitoring via radar is a non-trivial task under the interference from respiration and its harmonics. In order to eliminate the interference, we propose a weighted reconstruction method of the second harmonic signal of the heartbeat for the heart ra...

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Published inIEEE sensors journal Vol. 22; no. 6; pp. 5815 - 5823
Main Authors Zheng, Pengwei, Zheng, Chundi, Li, Xiaoxia, Chen, Huihui, Wang, Aiguo, Luo, Yihong
Format Journal Article
LanguageEnglish
Published New York IEEE 15.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Decomposition
Estimation
FMCW radar
Frequencies
Harmonic analysis
Heart beat
Heart rate
Heart rate monitoring
Higher harmonics
Interference
Monitoring
non-contact vital sign detection
Radar
Reconstruction
Sensors
variational modal decomposition
Online AccessGet full text
ISSN1530-437X
1558-1748
DOI10.1109/JSEN.2022.3148003

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Abstract Achieving high-accuracy and non-contact heart rate monitoring via radar is a non-trivial task under the interference from respiration and its harmonics. In order to eliminate the interference, we propose a weighted reconstruction method of the second harmonic signal of the heartbeat for the heart rate estimation. The proposed method combines the Variational Modal Decomposition (VMD) algorithm with the prior information about the second harmonic of the heartbeat. Namely, after a sophisticated endeavor for preprocessing, the chest wall displacement signal is decomposed into several quasi-orthogonal components by VMD and then those components whose spectrum are within the second harmonic frequency band of the heartbeat are selected to reconstruct the second harmonic signal of the heartbeat. For highlighting more likely second harmonic components and suppressing undesired noise components, the energy of each selected component is used as a weight to adjust its proportion in the reconstructed signal. Consequently, the heart rate estimation is achieved indirectly by estimating the spectral peak of the second harmonic signal. The proposed method not only avoids the strong interference from the respiratory signal and its higher harmonics on heart rate estimation, but also predigests the parameter setting in the spectral peak estimation model. Experimental results from 15 subjects demonstrate that the proposed method can achieve higher measurement accuracy compared with other several methods based on a 77 GHz FMCW radar.
AbstractList Achieving high-accuracy and non-contact heart rate monitoring via radar is a non-trivial task under the interference from respiration and its harmonics. In order to eliminate the interference, we propose a weighted reconstruction method of the second harmonic signal of the heartbeat for the heart rate estimation. The proposed method combines the Variational Modal Decomposition (VMD) algorithm with the prior information about the second harmonic of the heartbeat. Namely, after a sophisticated endeavor for preprocessing, the chest wall displacement signal is decomposed into several quasi-orthogonal components by VMD and then those components whose spectrum are within the second harmonic frequency band of the heartbeat are selected to reconstruct the second harmonic signal of the heartbeat. For highlighting more likely second harmonic components and suppressing undesired noise components, the energy of each selected component is used as a weight to adjust its proportion in the reconstructed signal. Consequently, the heart rate estimation is achieved indirectly by estimating the spectral peak of the second harmonic signal. The proposed method not only avoids the strong interference from the respiratory signal and its higher harmonics on heart rate estimation, but also predigests the parameter setting in the spectral peak estimation model. Experimental results from 15 subjects demonstrate that the proposed method can achieve higher measurement accuracy compared with other several methods based on a 77 GHz FMCW radar.
Author Chen, Huihui
Li, Xiaoxia
Zheng, Chundi
Wang, Aiguo
Luo, Yihong
Zheng, Pengwei
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Cites_doi 10.1109/TCSII.2018.2860015
10.1145/2702123.2702200
10.1109/78.782222
10.1109/TMTT.2017.2650911
10.1016/j.bspc.2014.03.004
10.1109/TBME.2013.2288319
10.3390/s18093077
10.23919/Eusipco47968.2020.9287524
10.1109/TAP.1986.1143830
10.1142/S1793536909000047
10.1109/JSEN.2020.3036039
10.1098/rspa.1998.0193
10.1109/TSP.2013.2288675
10.1017/9781108277587
10.1109/JSEN.2011.2119299
10.23919/EuMC.2019.8910730
10.1109/EMBC.2018.8512544
10.1109/IMS30576.2020.9223838
10.1109/ACCESS.2019.2912956
10.1109/JIOT.2021.3051580
10.1109/IMBIOC.2018.8428898
10.1587/comex.2020XBL0005
10.1109/ACCESS.2019.2958600
10.3389/frcmn.2021.648181
10.1109/RADAR.2017.7944298
10.1109/ICASSP.2011.5947265
10.1038/s41928-019-0258-6
10.1016/j.imu.2019.100225
10.1109/TBCAS.2019.2908198
10.1007/978-981-32-9515-5_1
10.1109/TBME.2021.3066876
10.1016/j.specom.2016.12.004
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References ref13
ref12
ref34
ref15
ref14
ref31
ref30
ref33
ref10
ref32
ref2
ref1
ref17
ref16
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
Rong (ref11) 2018
ref9
ref4
ref3
ref6
ref5
Ma (ref35)
References_xml – ident: ref22
  doi: 10.1109/TCSII.2018.2860015
– ident: ref7
  doi: 10.1145/2702123.2702200
– ident: ref32
  doi: 10.1109/78.782222
– ident: ref8
  doi: 10.1109/TMTT.2017.2650911
– ident: ref2
  doi: 10.1016/j.bspc.2014.03.004
– ident: ref20
  doi: 10.1109/TBME.2013.2288319
– ident: ref23
  doi: 10.3390/s18093077
– ident: ref9
  doi: 10.23919/Eusipco47968.2020.9287524
– ident: ref29
  doi: 10.1109/TAP.1986.1143830
– ident: ref16
  doi: 10.1142/S1793536909000047
– ident: ref1
  doi: 10.1109/JSEN.2020.3036039
– ident: ref15
  doi: 10.1098/rspa.1998.0193
– ident: ref18
  doi: 10.1109/TSP.2013.2288675
– ident: ref31
  doi: 10.1017/9781108277587
– ident: ref27
  doi: 10.1109/JSEN.2011.2119299
– start-page: 1649
  volume-title: Proc. 15th China Radar Academic Annu. Conf.
  ident: ref35
  article-title: Multi-human vital signs detection based on millimeter wave array radar beam scanning mode
– ident: ref21
  doi: 10.23919/EuMC.2019.8910730
– ident: ref34
  doi: 10.1109/EMBC.2018.8512544
– ident: ref10
  doi: 10.1109/IMS30576.2020.9223838
– ident: ref12
  doi: 10.1109/ACCESS.2019.2912956
– ident: ref13
  doi: 10.1109/JIOT.2021.3051580
– ident: ref28
  doi: 10.1109/IMBIOC.2018.8428898
– ident: ref14
  doi: 10.1587/comex.2020XBL0005
– ident: ref19
  doi: 10.1109/ACCESS.2019.2958600
– ident: ref26
  doi: 10.1109/ACCESS.2019.2912956
– ident: ref5
  doi: 10.3389/frcmn.2021.648181
– ident: ref24
  doi: 10.1109/RADAR.2017.7944298
– ident: ref17
  doi: 10.1109/ICASSP.2011.5947265
– ident: ref33
  doi: 10.1038/s41928-019-0258-6
– ident: ref4
  doi: 10.1016/j.imu.2019.100225
– ident: ref3
  doi: 10.1109/TBCAS.2019.2908198
– ident: ref30
  doi: 10.1007/978-981-32-9515-5_1
– ident: ref6
  doi: 10.1109/TBME.2021.3066876
– year: 2018
  ident: ref11
  article-title: Remote sensing for vital signs monitoring using advanced radar signal processing techniques
– ident: ref25
  doi: 10.1016/j.specom.2016.12.004
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Snippet Achieving high-accuracy and non-contact heart rate monitoring via radar is a non-trivial task under the interference from respiration and its harmonics. In...
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SubjectTerms Algorithms
Decomposition
Estimation
FMCW radar
Frequencies
Harmonic analysis
Heart beat
Heart rate
Heart rate monitoring
Higher harmonics
Interference
Monitoring
non-contact vital sign detection
Radar
Reconstruction
Sensors
variational modal decomposition
Title Second Harmonic Weighted Reconstruction for Non-Contact Monitoring Heart Rate
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