Fetal ECG extraction from maternal ECG using attention-based cycleGAN

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to s...

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Autores: Mohebbian, Mohammad Reza, Vedaei, Seyed Shahim, Wahid, Khan A., Dinh, Anh, Marateb, Hamid Reza|||0000-0003-4408-2397, Tavakolian, Kouhyar
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/388306
Acceso en línea:https://hdl.handle.net/2117/388306
https://dx.doi.org/10.1109/JBHI.2021.3111873
Access Level:acceso abierto
Palabra clave:Fetal monitoring
Electrocardiography
Fetal ECG
CycleGAN
Blind source separation
Attention layer
Monitoratge fetal
Electrocardiografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
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repository_id_str
spelling Fetal ECG extraction from maternal ECG using attention-based cycleGANMohebbian, Mohammad RezaVedaei, Seyed ShahimWahid, Khan A.Dinh, AnhMarateb, Hamid Reza|||0000-0003-4408-2397Tavakolian, KouhyarFetal monitoringElectrocardiographyFetal ECGCycleGANBlind source separationAttention layerMonitoratge fetalElectrocardiografiaÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyalÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.A non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from the maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of the FECG, the overlap of R waves, and the potential exposure to noise from different sources. Traditional decomposition techniques, such as adaptive filters, require tuning, alignment, or pre-configuration, such as modeling the noise or desired signal to map the MECG to the FECG. The high correlation between maternal and fetal ECG fragments decreases the performance of convolution layers. Therefore, the masking region of interest based on the attention mechanism was performed to improve the signal generators' precision. The sine activation function was also used to retain more details when converting two signal domains. Three available datasets from the Physionet, including the A&D FECG, NI-FECG, and NI-FECG challenge, and one synthetic dataset using FECGSYN toolbox, were used to evaluate the performance. The proposed method could map an abdominal MECG to a scalp FECG with an average of 98% R-Square [CI 95%: 97%, 99%] as the goodness of fit on the A&D FECG dataset. Moreover, it achieved 99.7% F1-score [CI 95%: 97.8-99.9], 99.6% F1-score [CI 95%: 98.2%, 99.9%] and 99.3% F1-score [CI 95%: 95.3%, 99.9%] for fetal QRS detection on the A&D FECG, NI-FECG and NI-FECG challenge datasets, respectively. Also, the distortion was in the “very good” and “good” ranges. These results are comparable to the state-of-the-art results; thus, the proposed algorithm has the potential to be used for high-performance signal-to-signal conversion.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20222022-02-0120232023-06-07journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/388306https://dx.doi.org/10.1109/JBHI.2021.3111873reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3883062026-05-27T15:37:01Z
dc.title.none.fl_str_mv Fetal ECG extraction from maternal ECG using attention-based cycleGAN
title Fetal ECG extraction from maternal ECG using attention-based cycleGAN
spellingShingle Fetal ECG extraction from maternal ECG using attention-based cycleGAN
Mohebbian, Mohammad Reza
Fetal monitoring
Electrocardiography
Fetal ECG
CycleGAN
Blind source separation
Attention layer
Monitoratge fetal
Electrocardiografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
title_short Fetal ECG extraction from maternal ECG using attention-based cycleGAN
title_full Fetal ECG extraction from maternal ECG using attention-based cycleGAN
title_fullStr Fetal ECG extraction from maternal ECG using attention-based cycleGAN
title_full_unstemmed Fetal ECG extraction from maternal ECG using attention-based cycleGAN
title_sort Fetal ECG extraction from maternal ECG using attention-based cycleGAN
dc.creator.none.fl_str_mv Mohebbian, Mohammad Reza
Vedaei, Seyed Shahim
Wahid, Khan A.
Dinh, Anh
Marateb, Hamid Reza|||0000-0003-4408-2397
Tavakolian, Kouhyar
author Mohebbian, Mohammad Reza
author_facet Mohebbian, Mohammad Reza
Vedaei, Seyed Shahim
Wahid, Khan A.
Dinh, Anh
Marateb, Hamid Reza|||0000-0003-4408-2397
Tavakolian, Kouhyar
author_role author
author2 Vedaei, Seyed Shahim
Wahid, Khan A.
Dinh, Anh
Marateb, Hamid Reza|||0000-0003-4408-2397
Tavakolian, Kouhyar
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Fetal monitoring
Electrocardiography
Fetal ECG
CycleGAN
Blind source separation
Attention layer
Monitoratge fetal
Electrocardiografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
topic Fetal monitoring
Electrocardiography
Fetal ECG
CycleGAN
Blind source separation
Attention layer
Monitoratge fetal
Electrocardiografia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
description © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-02-01
2023
2023-06-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/388306
https://dx.doi.org/10.1109/JBHI.2021.3111873
url https://hdl.handle.net/2117/388306
https://dx.doi.org/10.1109/JBHI.2021.3111873
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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