Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation

Autores
Torkar, Drago; Arini, Pedro David
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The ventricular repolarization dispersion (VRD) has been shown to increase with premature stimulation. Moreover,  several differences between left ventricular  and right ventricular, such as the anatomic properties and fibrillation threshold have been reported. However, few data exist regarding the influence of the site of stimulation on modulation of VRD measure by electrocardiographic. In the present work, several ECG indices of VRD, as a function of the coupling interval and the site of stimulation, were studied in an isolated heart rabbit preparation (n=18), using ECG multilead (5 rows x 8 columns) system with Artificial Neural Networks.  In both ventricles, results have shown  significant decreases in early repolarization duration, while in the left ventricle we have found significant  increases of transmural dispersion. Also, we have observed that when the premature stimuli were applied to the left ventricle, the ventricular repolarization dispersion  changes were detected using only one preferential electrode (row1-column3). When stimuli were elicited at the right ventricle, changes of VRD were detected by  three electrodes (row3-column1, row2-column1 and row3-column8). Finally, a different ventricular repolarization dispersion  was found as a function of the site of stimulation.
Fil: Torkar, Drago. Institute Jozef Stefan; Eslovenia
Fil: Arini, Pedro David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016)
Roma
Italia
Institute for Systems and Technologies of Information, Control and Communication
Materia
ELECTROCARDIOGRAPHY
TRANSMURAL DISPERSION
MAPPING
ANN
PACING
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:11336/159277
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/159277
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulationTorkar, DragoArini, Pedro DavidELECTROCARDIOGRAPHYTRANSMURAL DISPERSIONMAPPINGANNPACINGhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The ventricular repolarization dispersion (VRD) has been shown to increase with premature stimulation. Moreover,  several differences between left ventricular  and right ventricular, such as the anatomic properties and fibrillation threshold have been reported. However, few data exist regarding the influence of the site of stimulation on modulation of VRD measure by electrocardiographic. In the present work, several ECG indices of VRD, as a function of the coupling interval and the site of stimulation, were studied in an isolated heart rabbit preparation (n=18), using ECG multilead (5 rows x 8 columns) system with Artificial Neural Networks.  In both ventricles, results have shown  significant decreases in early repolarization duration, while in the left ventricle we have found significant  increases of transmural dispersion. Also, we have observed that when the premature stimuli were applied to the left ventricle, the ventricular repolarization dispersion  changes were detected using only one preferential electrode (row1-column3). When stimuli were elicited at the right ventricle, changes of VRD were detected by  three electrodes (row3-column1, row2-column1 and row3-column8). Finally, a different ventricular repolarization dispersion  was found as a function of the site of stimulation.Fil: Torkar, Drago. Institute Jozef Stefan; EsloveniaFil: Arini, Pedro David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016)RomaItaliaInstitute for Systems and Technologies of Information, Control and CommunicationSciTepress2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/159277Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation; 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016); Roma; Italia; 2016; 34-41978-989-758-170-0CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://doi.org/10.5220/0005663200340041info:eu-repo/semantics/altIdentifier/url/https://www.scitepress.org/Link.aspx?doi=10.5220/0005663200340041Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:07:32Zoai:ri.conicet.gov.ar:11336/159277instacron: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:34982025-09-29 10:07:32.895CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
title Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
spellingShingle Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
Torkar, Drago
ELECTROCARDIOGRAPHY
TRANSMURAL DISPERSION
MAPPING
ANN
PACING
title_short Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
title_full Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
title_fullStr Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
title_full_unstemmed Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
title_sort Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation
dc.creator.none.fl_str_mv Torkar, Drago
Arini, Pedro David
author Torkar, Drago
author_facet Torkar, Drago
Arini, Pedro David
author_role author
author2 Arini, Pedro David
author2_role author
dc.subject.none.fl_str_mv ELECTROCARDIOGRAPHY
TRANSMURAL DISPERSION
MAPPING
ANN
PACING
topic ELECTROCARDIOGRAPHY
TRANSMURAL DISPERSION
MAPPING
ANN
PACING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The ventricular repolarization dispersion (VRD) has been shown to increase with premature stimulation. Moreover,  several differences between left ventricular  and right ventricular, such as the anatomic properties and fibrillation threshold have been reported. However, few data exist regarding the influence of the site of stimulation on modulation of VRD measure by electrocardiographic. In the present work, several ECG indices of VRD, as a function of the coupling interval and the site of stimulation, were studied in an isolated heart rabbit preparation (n=18), using ECG multilead (5 rows x 8 columns) system with Artificial Neural Networks.  In both ventricles, results have shown  significant decreases in early repolarization duration, while in the left ventricle we have found significant  increases of transmural dispersion. Also, we have observed that when the premature stimuli were applied to the left ventricle, the ventricular repolarization dispersion  changes were detected using only one preferential electrode (row1-column3). When stimuli were elicited at the right ventricle, changes of VRD were detected by  three electrodes (row3-column1, row2-column1 and row3-column8). Finally, a different ventricular repolarization dispersion  was found as a function of the site of stimulation.
Fil: Torkar, Drago. Institute Jozef Stefan; Eslovenia
Fil: Arini, Pedro David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016)
Roma
Italia
Institute for Systems and Technologies of Information, Control and Communication
description The ventricular repolarization dispersion (VRD) has been shown to increase with premature stimulation. Moreover,  several differences between left ventricular  and right ventricular, such as the anatomic properties and fibrillation threshold have been reported. However, few data exist regarding the influence of the site of stimulation on modulation of VRD measure by electrocardiographic. In the present work, several ECG indices of VRD, as a function of the coupling interval and the site of stimulation, were studied in an isolated heart rabbit preparation (n=18), using ECG multilead (5 rows x 8 columns) system with Artificial Neural Networks.  In both ventricles, results have shown  significant decreases in early repolarization duration, while in the left ventricle we have found significant  increases of transmural dispersion. Also, we have observed that when the premature stimuli were applied to the left ventricle, the ventricular repolarization dispersion  changes were detected using only one preferential electrode (row1-column3). When stimuli were elicited at the right ventricle, changes of VRD were detected by  three electrodes (row3-column1, row2-column1 and row3-column8). Finally, a different ventricular repolarization dispersion  was found as a function of the site of stimulation.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/159277
Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation; 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016); Roma; Italia; 2016; 34-41
978-989-758-170-0
CONICET Digital
CONICET
url http://hdl.handle.net/11336/159277
identifier_str_mv Analysis of an electrocardiographic multilead system by means of artificial neural networks: study of repolarization during premature ventricular stimulation; 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016); Roma; Italia; 2016; 34-41
978-989-758-170-0
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://doi.org/10.5220/0005663200340041
info:eu-repo/semantics/altIdentifier/url/https://www.scitepress.org/Link.aspx?doi=10.5220/0005663200340041
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
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv SciTepress
publisher.none.fl_str_mv SciTepress
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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score 13.070432

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