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Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study

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Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study

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dc.contributor.author Liberos Mascarell, Alejandro es_ES
dc.contributor.author RODRIGO BORT, MIGUEL es_ES
dc.contributor.author Hernández-Romero, Ismael es_ES
dc.contributor.author Quesada Dorador, Aurelio es_ES
dc.contributor.author Fernández-Avilés, Francisco es_ES
dc.contributor.author ATIENZA FERNANDEZ, FELIPE es_ES
dc.contributor.author Climent, Andreu M. es_ES
dc.contributor.author Guillem Sánchez, María Salud es_ES
dc.date.accessioned 2020-12-11T04:33:10Z
dc.date.available 2020-12-11T04:33:10Z
dc.date.issued 2019-01 es_ES
dc.identifier.issn 0010-4825 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156840
dc.description.abstract [EN] Atrial Flutter (AFL) termination by ablating the path responsible for the arrhythmia maintenance is an extended practice. However, the difficulty associated with the identification of the circuit in the case of atypical AFL motivates the development of diagnostic techniques. We propose body surface phase map analysis as a non-invasive tool to identify AFL circuits. Sixty seven lead body surface recordings were acquired in 9 patients during AFL (i.e. 3 typical, 6 atypical). Computed body surface phase maps from simulations of 5 reentrant behaviors in a realistic atrial structure were also used. Surface representation of the macro-reentrant activity was analyzed by tracking the singularity points (SPs) in surface phase maps obtained from band-pass filtered body surface potential maps. Spatial distribution of SPs showed significant differences between typical and atypical AFL. Whereas for typical AFL patients 70.78 +/- 16.17% of the maps presented two SPs simultaneously in the areas defined around the midaxialliary lines, this condition was only satisfied in 5.15 +/- 10.99% (p < 0.05) maps corresponding to atypical AFL patients. Simulations confirmed these results. Surface phase maps highlights the reentrant mechanism maintaining the arrhythmia and appear as a promising tool for the noninvasive characterization of the circuit maintaining AFL. The potential of the technique as a diagnosis tool needs to be evaluated in larger populations and, if it is confirmed, may help in planning ablation procedures. es_ES
dc.description.sponsorship Supported in part by: Instituto de Salud Carlos III FEDER (Fondo Europeo de Desarrollo Regional; IJCI- 2014-22178, DTS16/00160; PI16/01123; PI17/01059; PI17/01106), Spanish Ministry of Education and Generalitat Valenciana Grants APOSTD/2017 and APOSTD/2018. The authors would like to thank Victoria Donis, Maria Mozo and Natividad Mihi for their help in data collection. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computers in Biology and Medicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial flutter es_ES
dc.subject Phase map es_ES
dc.subject Cardiac model es_ES
dc.subject Body surface potential mapping es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compbiomed.2018.11.020 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DTS16%2F00160/ES/Guiado en Tiempo Real de la Ablación de la Fibrilación Auricular mediante Cartografía Eléctrica Global (CORIFY)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PI16%2F01123/ES/Regeneración Cardiaca de Infarto Crónico Porcino mediante Inyecciónes Intramiocardiacas de Células Progenitoras Embebidas en Hidrogeles de Matriz Decelularizada/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//IJCI-2014-22178/ES/IJCI-2014-22178/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//PI17%2F01059/ES/Estratificación y tratamiento de la fibrilación auricular basada en los mecanismos de perpetuación de la arritmia/STRATIFY-AF/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//ACIF%2F2011%2F188/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ME//AP2010-4365/ES/AP2010-4365/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ISCIII//PI17%2F01106/ES/Estratificación y tratamiento de la fibrilación auricular basada en los mecanismos de perpetuación de la arritmia/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Liberos Mascarell, A.; Rodrigo Bort, M.; Hernández-Romero, I.; Quesada Dorador, A.; Fernández-Avilés, F.; Atienza Fernandez, F.; Climent, AM.... (2019). Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study. Computers in Biology and Medicine. 104:319-328. https://doi.org/10.1016/j.compbiomed.2018.11.020 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.compbiomed.2018.11.020 es_ES
dc.description.upvformatpinicio 319 es_ES
dc.description.upvformatpfin 328 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 104 es_ES
dc.identifier.pmid 30558815 es_ES
dc.relation.pasarela S\383006 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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