A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography

The aim of this study is to investigate that fetal heart rates (fHR) extracted from fetal phonocardiography (fPCG) could convey similar information of fHR from cardiotocography (CTG). Four-channel fPCG sensors made of low cost (<$1) ceramic piezo vibration sensor within 3D-printed casings wer...

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Main Authors: Emad A. Ibrahim, Shamsa Al Awar, Zuhur H. Balayah, Leontios J. Hadjileontiadis, Ahsan H. Khandoker
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2017.00764/full
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spelling doaj-fb9761db7f94487d949d703245b8a3122020-11-24T22:46:41ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2017-10-01810.3389/fphys.2017.00764302279A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and CardiotocographyEmad A. Ibrahim0Shamsa Al Awar1Zuhur H. Balayah2Leontios J. Hadjileontiadis3Leontios J. Hadjileontiadis4Ahsan H. Khandoker5Ahsan H. Khandoker6Department of Electrical and Computer Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesDepartment of Obstetrics and Gynaecology, College of Medicine and Health Science, UAE University, Al Ain, United Arab EmiratesDepartment of Obstetrics and Gynaecology, College of Medicine and Health Science, UAE University, Al Ain, United Arab EmiratesDepartment of Electrical and Computer Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesDepartment of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, GreeceDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab EmiratesDepartment of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, AustraliaThe aim of this study is to investigate that fetal heart rates (fHR) extracted from fetal phonocardiography (fPCG) could convey similar information of fHR from cardiotocography (CTG). Four-channel fPCG sensors made of low cost (<$1) ceramic piezo vibration sensor within 3D-printed casings were used to collect abdominal phonogram signals from 20 pregnant mothers (>34 weeks of gestation). A novel multi-lag covariance matrix-based eigenvalue decomposition technique was used to separate maternal breathing, fetal heart sounds (fHS) and maternal heart sounds (mHS) from abdominal phonogram signals. Prior to the fHR estimation, the fPCG signals were denoised using a multi-resolution wavelet-based filter. The proposed source separation technique was first tested in separating sources from synthetically mixed signals and then on raw abdominal phonogram signals. fHR signals extracted from fPCG signals were validated using simultaneous recorded CTG-based fHR recordings.The experimental results have shown that the fHR derived from the acquired fPCG can be used to detect periods of acceleration and deceleration, which are critical indication of the fetus' well-being. Moreover, a comparative analysis demonstrated that fHRs from CTG and fPCG signals were in good agreement (Bland Altman plot has mean = −0.21 BPM and ±2 SD = ±3) with statistical significance (p < 0.001 and Spearman correlation coefficient ρ = 0.95). The study findings show that fHR estimated from fPCG could be a reliable substitute for fHR from the CTG, opening up the possibility of a low cost monitoring tool for fetal well-being.http://journal.frontiersin.org/article/10.3389/fphys.2017.00764/fullfetal heart sounds (fHS)phonocardiography (PCG)phonogramscardiotocography (CTG)blind source separation (BSS)vibration sensors
collection DOAJ
language English
format Article
sources DOAJ
author Emad A. Ibrahim
Shamsa Al Awar
Zuhur H. Balayah
Leontios J. Hadjileontiadis
Leontios J. Hadjileontiadis
Ahsan H. Khandoker
Ahsan H. Khandoker
spellingShingle Emad A. Ibrahim
Shamsa Al Awar
Zuhur H. Balayah
Leontios J. Hadjileontiadis
Leontios J. Hadjileontiadis
Ahsan H. Khandoker
Ahsan H. Khandoker
A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
Frontiers in Physiology
fetal heart sounds (fHS)
phonocardiography (PCG)
phonograms
cardiotocography (CTG)
blind source separation (BSS)
vibration sensors
author_facet Emad A. Ibrahim
Shamsa Al Awar
Zuhur H. Balayah
Leontios J. Hadjileontiadis
Leontios J. Hadjileontiadis
Ahsan H. Khandoker
Ahsan H. Khandoker
author_sort Emad A. Ibrahim
title A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
title_short A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
title_full A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
title_fullStr A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
title_full_unstemmed A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography
title_sort comparative study on fetal heart rates estimated from fetal phonography and cardiotocography
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2017-10-01
description The aim of this study is to investigate that fetal heart rates (fHR) extracted from fetal phonocardiography (fPCG) could convey similar information of fHR from cardiotocography (CTG). Four-channel fPCG sensors made of low cost (<$1) ceramic piezo vibration sensor within 3D-printed casings were used to collect abdominal phonogram signals from 20 pregnant mothers (>34 weeks of gestation). A novel multi-lag covariance matrix-based eigenvalue decomposition technique was used to separate maternal breathing, fetal heart sounds (fHS) and maternal heart sounds (mHS) from abdominal phonogram signals. Prior to the fHR estimation, the fPCG signals were denoised using a multi-resolution wavelet-based filter. The proposed source separation technique was first tested in separating sources from synthetically mixed signals and then on raw abdominal phonogram signals. fHR signals extracted from fPCG signals were validated using simultaneous recorded CTG-based fHR recordings.The experimental results have shown that the fHR derived from the acquired fPCG can be used to detect periods of acceleration and deceleration, which are critical indication of the fetus' well-being. Moreover, a comparative analysis demonstrated that fHRs from CTG and fPCG signals were in good agreement (Bland Altman plot has mean = −0.21 BPM and ±2 SD = ±3) with statistical significance (p < 0.001 and Spearman correlation coefficient ρ = 0.95). The study findings show that fHR estimated from fPCG could be a reliable substitute for fHR from the CTG, opening up the possibility of a low cost monitoring tool for fetal well-being.
topic fetal heart sounds (fHS)
phonocardiography (PCG)
phonograms
cardiotocography (CTG)
blind source separation (BSS)
vibration sensors
url http://journal.frontiersin.org/article/10.3389/fphys.2017.00764/full
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