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Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities A computational study

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Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities A computational study

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dc.contributor.author Martínez-Mateu, Laura es_ES
dc.contributor.author Romero Pérez, Lucia es_ES
dc.contributor.author Saiz Rodríguez, Francisco Javier es_ES
dc.contributor.author Berenfeld, Omer es_ES
dc.date.accessioned 2020-04-24T07:13:32Z
dc.date.available 2020-04-24T07:13:32Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0010-4825 es_ES
dc.identifier.uri http://hdl.handle.net/10251/141440
dc.description.abstract [EN] Background Atrial fibrillation (AF) is the most common cardiac arrhythmia and the most important cause of embolic stroke, requiring new technologies for its better understanding and therapies. Recent approaches to map the electrical activity during AF with multi-electrode systems aim at localizing patient-specific ablation targets of reentrant patterns. However, there is a critical need to determine the accuracy of those mapping systems. We performed computer simulations as a numerical approach of systematically evaluating the influence of far-field sources on the electrical recordings and detection of rotors. Methods We constructed 2 computer models of atrial tissue: (i) a 2D sheet model with varying non-active cells area in its center, and (ii) a whole realistic 3D atrial model. Phase maps were built based on the Hilbert transform of the unipolar electrograms recorded by virtual 2D and 3D multi-electrode systems and rotors were tracked through phase singularities detections. Results Analysis of electrograms recorded away from the 2D atrial model shows that the larger the distance between an electrode and the tissue model, the stronger the far-field sources contribution to the electrogram is. Importantly, even if an electrode is positioned in contact with the tissue, the electrogram contains significant contributions from distal sources that blur the distinction between anatomical and functional reentries. Moreover, when mapping the 3D atrial model, remote activity generated false phase singularities at locations without local reentrant excitation patterns. Conclusions Far-field contributions to electrograms during AF reduce the accuracy of detecting and interpreting reentrant activity. es_ES
dc.description.sponsorship This work was supported in part by Programa Prometeu de la Conselleria d'Educacio, Formacio I Ocupacio de la Generalitat Valenciana, award number PROMETEU/2016/088; Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2013-2016 del Ministerio de Economia, Industria y Competitividad of Spain, Agencia Estatal de Investigacion and the European Commission (European Regional Development Funds - ERDF -FEDER), award number DPI2016-75799-R; The National Heart, Lung, and Blood Institute grant ROl-HL118304; the Gelman Award from the Cardiovascular Division at the University of Michigan; and the Coulter Program Award from the Dept. of Biomed Eng. at the University of Michigan. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computers in Biology and Medicine es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Mapping es_ES
dc.subject Electrogram es_ES
dc.subject Phase analysis es_ES
dc.subject Far-field es_ES
dc.subject Rotors es_ES
dc.subject Reentry es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities A computational study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compbiomed.2019.02.022 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//R01HL118304/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2016%2F088/ES/MODELOS COMPUTACIONALES PERSONALIZADOS MULTI-ESCALA PARA LA OPTIMIZACION DEL DIAGNOSTICO Y TRATAMIENTO DE ARRITMIAS CARDIACAS (PERSONALISED DIGITAL HEART)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2016-75799-R/ES/TECNOLOGIAS COMPUTACIONALES PARA LA OPTIMIZACION DE TERAPIAS PERSONALIZADAS DE PATOLOGIAS AURICULARES Y VENTRICULARES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Martínez-Mateu, L.; Romero Pérez, L.; Saiz Rodríguez, FJ.; Berenfeld, O. (2019). Far-field contributions in multi-electrodes atrial recordings blur distinction between anatomical and functional reentries and may cause imaginary phase singularities A computational study. Computers in Biology and Medicine. 108:276-287. https://doi.org/10.1016/j.compbiomed.2019.02.022 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.compbiomed.2019.02.022 es_ES
dc.description.upvformatpinicio 276 es_ES
dc.description.upvformatpfin 287 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 108 es_ES
dc.relation.pasarela S\387530 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder National Institutes of Health, EEUU es_ES
dc.contributor.funder University of Michigan es_ES
dc.contributor.funder National Heart, Lung, and Blood Institute, EEUU es_ES
dc.contributor.funder Biomedical Engineering Department, University of Michigan es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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