Non-Contact Short-Term Heart Rate Variability Analysis Under Paced Respiration Based on a Robust Fiber Optic Sensor System

In this article, a low-cost fiber optic sensor (FOS)-based system is proposed for the long-term stable measurement of ballistocardiography (BCG), which can be used to analyze short-term heart rate variability (HRV). The core part of the system is a single-mode fiber-based Mach–Zehnder interferometer...

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Published inIEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 13
Main Authors Lyu, Weimin, Yuan, Weihao, Yu, Jianxun, Wang, Qing, Chen, Shuyang, Qin, Jing, Yu, Changyuan
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024
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ISSN0018-9456
1557-9662
DOI10.1109/TIM.2023.3346511

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Abstract In this article, a low-cost fiber optic sensor (FOS)-based system is proposed for the long-term stable measurement of ballistocardiography (BCG), which can be used to analyze short-term heart rate variability (HRV). The core part of the system is a single-mode fiber-based Mach–Zehnder interferometer (MZI), which consists of a [Formula Omitted] coupler and a [Formula Omitted] coupler. Due to the asymmetric structure of the two MZI arms, the interference spectrum will be observed, which will move linearly with the change of the transverse stress. The incident light is emitted from a low-cost distributed feedback (DFB) laser and coupled into the MZI sensor. The vibrations induced by human respiration and heartbeat will result in the variation of light phase in MZI, and further give rise to the change of interfering light intensity, which is detected by three photodetectors (PDs). The FOS-based BCG interbeat interval (IBI) shows high correlations with electrocardiography (ECG)-derived IBI, with correlation coefficients of 0.9971 and 0.9581 for healthy and premature beats subjects, respectively. During the one-month stability test, the FOS-based BCG monitoring system realized high accuracy. An inverse relationship between BCG-derived HRV amplitude and respiratory rate is revealed in this study. In this work, we also discover the phenomenon that breathing at 0.1 Hz causes larger respiratory sinus arrhythmia (RSA) amplitude, and resonant frequency breathing is observed in BCG-derived IBI signals. In addition, the time-domain, frequency-domain, and nonlinear analysis results of BCG HRV and ECG HRV at 0.1 and 0.25 Hz respiratory rates are highly correlated. In addition to high accuracy, the FOS-based BCG monitoring system has the unique advantage of flexible configuration to obtain continuous and accurate HR information without contact. This system has the potential to become a preferred alternative for ECG in daily monitoring.
AbstractList In this article, a low-cost fiber optic sensor (FOS)-based system is proposed for the long-term stable measurement of ballistocardiography (BCG), which can be used to analyze short-term heart rate variability (HRV). The core part of the system is a single-mode fiber-based Mach–Zehnder interferometer (MZI), which consists of a [Formula Omitted] coupler and a [Formula Omitted] coupler. Due to the asymmetric structure of the two MZI arms, the interference spectrum will be observed, which will move linearly with the change of the transverse stress. The incident light is emitted from a low-cost distributed feedback (DFB) laser and coupled into the MZI sensor. The vibrations induced by human respiration and heartbeat will result in the variation of light phase in MZI, and further give rise to the change of interfering light intensity, which is detected by three photodetectors (PDs). The FOS-based BCG interbeat interval (IBI) shows high correlations with electrocardiography (ECG)-derived IBI, with correlation coefficients of 0.9971 and 0.9581 for healthy and premature beats subjects, respectively. During the one-month stability test, the FOS-based BCG monitoring system realized high accuracy. An inverse relationship between BCG-derived HRV amplitude and respiratory rate is revealed in this study. In this work, we also discover the phenomenon that breathing at 0.1 Hz causes larger respiratory sinus arrhythmia (RSA) amplitude, and resonant frequency breathing is observed in BCG-derived IBI signals. In addition, the time-domain, frequency-domain, and nonlinear analysis results of BCG HRV and ECG HRV at 0.1 and 0.25 Hz respiratory rates are highly correlated. In addition to high accuracy, the FOS-based BCG monitoring system has the unique advantage of flexible configuration to obtain continuous and accurate HR information without contact. This system has the potential to become a preferred alternative for ECG in daily monitoring.
Author Lyu, Weimin
Chen, Shuyang
Yu, Jianxun
Qin, Jing
Yuan, Weihao
Wang, Qing
Yu, Changyuan
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Cites_doi 10.1159/000012314
10.1109/ICITSI.2018.8695938
10.3389/fnins.2020.627512
10.1177/09727531211063426
10.1016/j.ijpsycho.2018.08.005
10.4414/smw.2004.10321
10.1364/BOE.403086
10.1007/BF02281119
10.1093/oxfordjournals.eurheartj.a014868
10.30773/pi.2017.08.17
10.1109/10.959330
10.1152/ajpheart.00405.2000
10.1016/j.jad.2015.06.057
10.1002/mus.25573
10.1186/s40101-019-0193-2
10.1161/01.CIR.14.3.435
10.3390/s21123998
10.1109/IEMBS.2008.4649242
10.5271/sjweh.15
10.1142/S0219519413500383
10.1186/s12938-019-0687-5
10.1152/ajpheart.1994.266.4.H1565
10.1161/01.RES.65.5.1350
10.1042/cs0910201
10.1007/s11517-011-0746-y
10.1016/j.neubiorev.2022.104576
10.1186/s12872-019-1166-4
10.3389/fpubh.2017.00258
10.1093/bja/aen080
10.1109/CCECE.2007.224
10.1109/ICCCT2.2015.7292732
10.1063/1.5128806
10.1016/S0002-9149(99)80309-9
10.1016/S1053-0770(96)80146-7
10.1016/j.bspc.2015.02.012
10.3390/s20164522
10.1016/S0735-1097(96)00279-3
10.1109/JSTQE.2023.3319581
10.1016/j.scitotenv.2009.10.071
10.3390/photonics9020050
10.3389/fpsyg.2017.00213
10.3389/fpsyg.2014.00756
10.1109/EMBC.2012.6346792
10.1016/j.compbiomed.2007.01.012
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References ref13
ref35
ref12
ref34
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref39
ref16
ref38
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref42
ref41
ref22
ref44
ref21
ref43
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
References_xml – ident: ref28
  doi: 10.1159/000012314
– ident: ref27
  doi: 10.1109/ICITSI.2018.8695938
– ident: ref22
  doi: 10.3389/fnins.2020.627512
– ident: ref26
  doi: 10.1177/09727531211063426
– ident: ref44
  doi: 10.1016/j.ijpsycho.2018.08.005
– ident: ref5
  doi: 10.4414/smw.2004.10321
– ident: ref15
  doi: 10.1364/BOE.403086
– ident: ref36
  doi: 10.1007/BF02281119
– ident: ref3
  doi: 10.1093/oxfordjournals.eurheartj.a014868
– ident: ref25
  doi: 10.30773/pi.2017.08.17
– ident: ref40
  doi: 10.1109/10.959330
– ident: ref38
  doi: 10.1152/ajpheart.00405.2000
– ident: ref31
  doi: 10.1016/j.jad.2015.06.057
– ident: ref39
  doi: 10.1002/mus.25573
– ident: ref2
  doi: 10.1186/s40101-019-0193-2
– ident: ref16
  doi: 10.1161/01.CIR.14.3.435
– ident: ref29
  doi: 10.3390/s21123998
– ident: ref18
  doi: 10.1109/IEMBS.2008.4649242
– ident: ref4
  doi: 10.5271/sjweh.15
– ident: ref6
  doi: 10.1142/S0219519413500383
– ident: ref7
  doi: 10.1186/s12938-019-0687-5
– ident: ref35
  doi: 10.1152/ajpheart.1994.266.4.H1565
– ident: ref37
  doi: 10.1161/01.RES.65.5.1350
– ident: ref34
  doi: 10.1042/cs0910201
– ident: ref17
  doi: 10.1007/s11517-011-0746-y
– ident: ref21
  doi: 10.1016/j.neubiorev.2022.104576
– ident: ref42
  doi: 10.1186/s12872-019-1166-4
– ident: ref24
  doi: 10.3389/fpubh.2017.00258
– ident: ref33
  doi: 10.1093/bja/aen080
– ident: ref9
  doi: 10.1109/CCECE.2007.224
– ident: ref11
  doi: 10.1109/ICCCT2.2015.7292732
– ident: ref12
  doi: 10.1063/1.5128806
– ident: ref32
  doi: 10.1016/S0002-9149(99)80309-9
– ident: ref23
  doi: 10.1016/S1053-0770(96)80146-7
– ident: ref30
  doi: 10.1016/j.bspc.2015.02.012
– ident: ref8
  doi: 10.3390/s20164522
– ident: ref43
  doi: 10.1016/S0735-1097(96)00279-3
– ident: ref14
  doi: 10.1109/JSTQE.2023.3319581
– ident: ref1
  doi: 10.1016/j.scitotenv.2009.10.071
– ident: ref13
  doi: 10.3390/photonics9020050
– ident: ref19
  doi: 10.3389/fpsyg.2017.00213
– ident: ref20
  doi: 10.3389/fpsyg.2014.00756
– ident: ref10
  doi: 10.1109/EMBC.2012.6346792
– ident: ref41
  doi: 10.1016/j.compbiomed.2007.01.012
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Snippet In this article, a low-cost fiber optic sensor (FOS)-based system is proposed for the long-term stable measurement of ballistocardiography (BCG), which can be...
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StartPage 1
SubjectTerms Amplitudes
Asymmetric structures
Ballistocardiography
Breathing
Correlation coefficients
Couplers
Electrocardiography
Fiber optics
Heart rate
Incident light
Low cost
Luminous intensity
Mach-Zehnder interferometers
Monitoring
Monitoring systems
Nonlinear analysis
Resonant frequencies
Respiration
Respiratory rate
Sensors
Stability tests
Telemedicine
Time domain analysis
Variability
Title Non-Contact Short-Term Heart Rate Variability Analysis Under Paced Respiration Based on a Robust Fiber Optic Sensor System
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