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A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording

Non-invasive fetal electrocardiograms (FECGs) are an alternative method to standard means of fetal monitoring which permit long-term continual monitoring. However, in abdominal recording, the FECG amplitude is weak in the temporal domain and overlaps with the maternal electrocardiogram (MECG) in the...

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Autores principales: Zhang, Nannan, Zhang, Jinyong, Li, Hui, Mumini, Omisore Olatunji, Samuel, Oluwarotimi Williams, Ivanov, Kamen, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375743/
https://www.ncbi.nlm.nih.gov/pubmed/28245585
http://dx.doi.org/10.3390/s17030457
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author Zhang, Nannan
Zhang, Jinyong
Li, Hui
Mumini, Omisore Olatunji
Samuel, Oluwarotimi Williams
Ivanov, Kamen
Wang, Lei
author_facet Zhang, Nannan
Zhang, Jinyong
Li, Hui
Mumini, Omisore Olatunji
Samuel, Oluwarotimi Williams
Ivanov, Kamen
Wang, Lei
author_sort Zhang, Nannan
collection PubMed
description Non-invasive fetal electrocardiograms (FECGs) are an alternative method to standard means of fetal monitoring which permit long-term continual monitoring. However, in abdominal recording, the FECG amplitude is weak in the temporal domain and overlaps with the maternal electrocardiogram (MECG) in the spectral domain. Research in the area of non-invasive separations of FECG from abdominal electrocardiograms (AECGs) is in its infancy and several studies are currently focusing on this area. An adaptive noise canceller (ANC) is commonly used for cancelling interference in cases where the reference signal only correlates with an interference signal, and not with a signal of interest. However, results from some existing studies suggest that propagation of electrocardiogram (ECG) signals from the maternal heart to the abdomen is nonlinear, hence the adaptive filter approach may fail if the thoracic and abdominal MECG lack strict waveform similarity. In this study, singular value decomposition (SVD) and smooth window (SW) techniques are combined to build a reference signal in an ANC. This is to avoid the limitation that thoracic MECGs recorded separately must be similar to abdominal MECGs in waveform. Validation of the proposed method with r01 and r07 signals from a public dataset, and a self-recorded private dataset showed that the proposed method achieved F1 scores of 99.61%, 99.28% and 98.58%, respectively for the detection of fetal QRS. Compared with four other single-channel methods, the proposed method also achieved higher accuracy values of 99.22%, 98.57% and 97.21%, respectively. The findings from this study suggest that the proposed method could potentially aid accurate extraction of FECG from MECG recordings in both clinical and commercial applications.
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spelling pubmed-53757432017-04-10 A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording Zhang, Nannan Zhang, Jinyong Li, Hui Mumini, Omisore Olatunji Samuel, Oluwarotimi Williams Ivanov, Kamen Wang, Lei Sensors (Basel) Article Non-invasive fetal electrocardiograms (FECGs) are an alternative method to standard means of fetal monitoring which permit long-term continual monitoring. However, in abdominal recording, the FECG amplitude is weak in the temporal domain and overlaps with the maternal electrocardiogram (MECG) in the spectral domain. Research in the area of non-invasive separations of FECG from abdominal electrocardiograms (AECGs) is in its infancy and several studies are currently focusing on this area. An adaptive noise canceller (ANC) is commonly used for cancelling interference in cases where the reference signal only correlates with an interference signal, and not with a signal of interest. However, results from some existing studies suggest that propagation of electrocardiogram (ECG) signals from the maternal heart to the abdomen is nonlinear, hence the adaptive filter approach may fail if the thoracic and abdominal MECG lack strict waveform similarity. In this study, singular value decomposition (SVD) and smooth window (SW) techniques are combined to build a reference signal in an ANC. This is to avoid the limitation that thoracic MECGs recorded separately must be similar to abdominal MECGs in waveform. Validation of the proposed method with r01 and r07 signals from a public dataset, and a self-recorded private dataset showed that the proposed method achieved F1 scores of 99.61%, 99.28% and 98.58%, respectively for the detection of fetal QRS. Compared with four other single-channel methods, the proposed method also achieved higher accuracy values of 99.22%, 98.57% and 97.21%, respectively. The findings from this study suggest that the proposed method could potentially aid accurate extraction of FECG from MECG recordings in both clinical and commercial applications. MDPI 2017-02-24 /pmc/articles/PMC5375743/ /pubmed/28245585 http://dx.doi.org/10.3390/s17030457 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Nannan
Zhang, Jinyong
Li, Hui
Mumini, Omisore Olatunji
Samuel, Oluwarotimi Williams
Ivanov, Kamen
Wang, Lei
A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title_full A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title_fullStr A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title_full_unstemmed A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title_short A Novel Technique for Fetal ECG Extraction Using Single-Channel Abdominal Recording
title_sort novel technique for fetal ecg extraction using single-channel abdominal recording
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375743/
https://www.ncbi.nlm.nih.gov/pubmed/28245585
http://dx.doi.org/10.3390/s17030457
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