An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram

Autores
Soria, Paula Romina; Cruces, Pablo Daniel; Caiafa, César Federico; Arini, Pedro David
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objective: The fetal electrocardiogram (FECG) can be recorded from the 20thweek of gestation. The aim of this work is to determine fetal cardiac biomarkers from non-invasive cardiac signals that may be useful in the assessment of fetal health. Methods: We have developed an algorithm to obtain FECG fiducial points. It started by discriminating fetal heartbeats based on the relative location between fetal and maternal QRS complexes. An average beat is derived from the abdominal electrocardiogram (AECG) using 20 beats with a correlation greater than 0.95 and stable RR-interval, based on data from 12 fetuses (38th-42ndweeks). We have implemented a combination between quaternion algebra and principal component analysis (Q-PCA method) to determine the onset and end of FECG waves by analyzing the angular velocity of the heart electrical vector. To validate our findings, we compared them with measurements obtained from the direct fetal electrocardiogram (DFECG), as a benchmark. Results: The values calculated by the Q-PCA method, as well as their correlation and the p-value in relation to the DFECG, were as follows: PR interval: 125.1±19.8ms (ρ=0.97, p<2.39e−7), QRS complex: 73.0±4.4ms (ρ=0.67, p<1.74e−2), QT interval: 261.1±28.5ms (ρ=0.84, p<7.05e−4) and QTc interval: 388.3±35.9ms (ρ=0.79, p<2.27e−3). Conclusion: Given its importance and the measurement performance achieved, the methodology presented represents a significant potential tool for improving the diagnosis of fetal health.
Fil: Soria, Paula Romina. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Cruces, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Caiafa, César Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Arini, Pedro David. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Materia
Non-Invasive Fetal Electrocardiogram
Principal Component Analysis
Quaternion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/263200
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal ElectrocardiogramSoria, Paula RominaCruces, Pablo DanielCaiafa, César FedericoArini, Pedro DavidNon-Invasive Fetal ElectrocardiogramPrincipal Component AnalysisQuaternionhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Objective: The fetal electrocardiogram (FECG) can be recorded from the 20thweek of gestation. The aim of this work is to determine fetal cardiac biomarkers from non-invasive cardiac signals that may be useful in the assessment of fetal health. Methods: We have developed an algorithm to obtain FECG fiducial points. It started by discriminating fetal heartbeats based on the relative location between fetal and maternal QRS complexes. An average beat is derived from the abdominal electrocardiogram (AECG) using 20 beats with a correlation greater than 0.95 and stable RR-interval, based on data from 12 fetuses (38th-42ndweeks). We have implemented a combination between quaternion algebra and principal component analysis (Q-PCA method) to determine the onset and end of FECG waves by analyzing the angular velocity of the heart electrical vector. To validate our findings, we compared them with measurements obtained from the direct fetal electrocardiogram (DFECG), as a benchmark. Results: The values calculated by the Q-PCA method, as well as their correlation and the p-value in relation to the DFECG, were as follows: PR interval: 125.1±19.8ms (ρ=0.97, p<2.39e−7), QRS complex: 73.0±4.4ms (ρ=0.67, p<1.74e−2), QT interval: 261.1±28.5ms (ρ=0.84, p<7.05e−4) and QTc interval: 388.3±35.9ms (ρ=0.79, p<2.27e−3). Conclusion: Given its importance and the measurement performance achieved, the methodology presented represents a significant potential tool for improving the diagnosis of fetal health.Fil: Soria, Paula Romina. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; ArgentinaFil: Cruces, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; ArgentinaFil: Caiafa, César Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Arini, Pedro David. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; ArgentinaElsevier Science Inc.2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/263200Soria, Paula Romina; Cruces, Pablo Daniel; Caiafa, César Federico; Arini, Pedro David; An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram; Elsevier Science Inc.; Irbm; 46; 3; 6-2025; 100886; 1-91959-03181876-0988CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.irbm.2025.100886info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1959031825000119info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:33:14Zoai:ri.conicet.gov.ar:11336/263200instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:33:14.708CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
title An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
spellingShingle An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
Soria, Paula Romina
Non-Invasive Fetal Electrocardiogram
Principal Component Analysis
Quaternion
title_short An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
title_full An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
title_fullStr An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
title_full_unstemmed An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
title_sort An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram
dc.creator.none.fl_str_mv Soria, Paula Romina
Cruces, Pablo Daniel
Caiafa, César Federico
Arini, Pedro David
author Soria, Paula Romina
author_facet Soria, Paula Romina
Cruces, Pablo Daniel
Caiafa, César Federico
Arini, Pedro David
author_role author
author2 Cruces, Pablo Daniel
Caiafa, César Federico
Arini, Pedro David
author2_role author
author
author
dc.subject.none.fl_str_mv Non-Invasive Fetal Electrocardiogram
Principal Component Analysis
Quaternion
topic Non-Invasive Fetal Electrocardiogram
Principal Component Analysis
Quaternion
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Objective: The fetal electrocardiogram (FECG) can be recorded from the 20thweek of gestation. The aim of this work is to determine fetal cardiac biomarkers from non-invasive cardiac signals that may be useful in the assessment of fetal health. Methods: We have developed an algorithm to obtain FECG fiducial points. It started by discriminating fetal heartbeats based on the relative location between fetal and maternal QRS complexes. An average beat is derived from the abdominal electrocardiogram (AECG) using 20 beats with a correlation greater than 0.95 and stable RR-interval, based on data from 12 fetuses (38th-42ndweeks). We have implemented a combination between quaternion algebra and principal component analysis (Q-PCA method) to determine the onset and end of FECG waves by analyzing the angular velocity of the heart electrical vector. To validate our findings, we compared them with measurements obtained from the direct fetal electrocardiogram (DFECG), as a benchmark. Results: The values calculated by the Q-PCA method, as well as their correlation and the p-value in relation to the DFECG, were as follows: PR interval: 125.1±19.8ms (ρ=0.97, p<2.39e−7), QRS complex: 73.0±4.4ms (ρ=0.67, p<1.74e−2), QT interval: 261.1±28.5ms (ρ=0.84, p<7.05e−4) and QTc interval: 388.3±35.9ms (ρ=0.79, p<2.27e−3). Conclusion: Given its importance and the measurement performance achieved, the methodology presented represents a significant potential tool for improving the diagnosis of fetal health.
Fil: Soria, Paula Romina. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Cruces, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
Fil: Caiafa, César Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Arini, Pedro David. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
description Objective: The fetal electrocardiogram (FECG) can be recorded from the 20thweek of gestation. The aim of this work is to determine fetal cardiac biomarkers from non-invasive cardiac signals that may be useful in the assessment of fetal health. Methods: We have developed an algorithm to obtain FECG fiducial points. It started by discriminating fetal heartbeats based on the relative location between fetal and maternal QRS complexes. An average beat is derived from the abdominal electrocardiogram (AECG) using 20 beats with a correlation greater than 0.95 and stable RR-interval, based on data from 12 fetuses (38th-42ndweeks). We have implemented a combination between quaternion algebra and principal component analysis (Q-PCA method) to determine the onset and end of FECG waves by analyzing the angular velocity of the heart electrical vector. To validate our findings, we compared them with measurements obtained from the direct fetal electrocardiogram (DFECG), as a benchmark. Results: The values calculated by the Q-PCA method, as well as their correlation and the p-value in relation to the DFECG, were as follows: PR interval: 125.1±19.8ms (ρ=0.97, p<2.39e−7), QRS complex: 73.0±4.4ms (ρ=0.67, p<1.74e−2), QT interval: 261.1±28.5ms (ρ=0.84, p<7.05e−4) and QTc interval: 388.3±35.9ms (ρ=0.79, p<2.27e−3). Conclusion: Given its importance and the measurement performance achieved, the methodology presented represents a significant potential tool for improving the diagnosis of fetal health.
publishDate 2025
dc.date.none.fl_str_mv 2025-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/263200
Soria, Paula Romina; Cruces, Pablo Daniel; Caiafa, César Federico; Arini, Pedro David; An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram; Elsevier Science Inc.; Irbm; 46; 3; 6-2025; 100886; 1-9
1959-0318
1876-0988
CONICET Digital
CONICET
url http://hdl.handle.net/11336/263200
identifier_str_mv Soria, Paula Romina; Cruces, Pablo Daniel; Caiafa, César Federico; Arini, Pedro David; An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram; Elsevier Science Inc.; Irbm; 46; 3; 6-2025; 100886; 1-9
1959-0318
1876-0988
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.irbm.2025.100886
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1959031825000119
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Inc.
publisher.none.fl_str_mv Elsevier Science Inc.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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