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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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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