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dc.contributor.author | Rodrigo Bort, Miguel | es_ES |
dc.contributor.author | Climent, A.M. | es_ES |
dc.contributor.author | Liberos Mascarell, Alejandro | es_ES |
dc.contributor.author | Calvo, D. | es_ES |
dc.contributor.author | Fernandez-Aviles, F. | es_ES |
dc.contributor.author | Berenfeld, O. | es_ES |
dc.contributor.author | Atienza, F. | es_ES |
dc.contributor.author | Guillem, M.S | es_ES |
dc.date.accessioned | 2017-09-08T11:55:01Z | |
dc.date.available | 2017-09-08T11:55:01Z | |
dc.date.issued | 2016-08 | |
dc.identifier.issn | 0090-6964 | |
dc.identifier.uri | http://hdl.handle.net/10251/86830 | |
dc.description.abstract | Burden of atrial fibrillation (AF) can be reduced by ablation of sources of electrical impulses driving AF but driver identification is still challenging. This study presents a new methodology based on causality analysis that allows identifying the hierarchically dominant areas driving AF. Identification of dominant propagation patterns was achieved by computing causal relations between intracardiac multi-electrode catheter recordings of four paroxysmal AF patients during sinus rhythm, pacing and AF. In addition, realistic mathematical models of the atria during AF were used to validate the methodology both in the presence and absence of dominant frequency (DF) gradients. During electrical pacing, sources of propagation patterns detected by causality analysis were consistent with the location of the stimulating catheter. During AF, propagation patterns presented temporal variability, but a dominant direction accounted for significantly more propagations than other directions (49 +/- 15% vs. 14 +/- 13% or less, p < 0.01). Both in patients with a DF gradient and in mathematical models, causal maps allowed the identification of sites responsible for maintenance of AF. Causal maps allowed the identification of atrial dominant sites. In particular, causality analysis resulted in stable dominant cause-effect propagation directions during AF and could serve as a guide for performing ablation procedures in AF patients. | es_ES |
dc.description.sponsorship | FA served on the advisory board of Medtronic and has received research funding from St. Jude Medical Spain. OB received research support from Medtronic and St. Jude Medical. He is a Scientific Officer of Rhythm Solutions, Inc. and a consultant to Acutus Medical, inc. The other authors have no conflict of interest. None of the companies disclosed financed the research described in this manuscript. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Springer Verlag (Germany) | es_ES |
dc.relation.ispartof | Annals of Biomedical Engineering | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Hierarchical pattern | es_ES |
dc.subject | Granger causality | es_ES |
dc.subject | Atrial fibrillation | es_ES |
dc.subject | Dominant pattern | es_ES |
dc.subject | Ablation | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s10439-015-1534-x | |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//ACIF%2F2013%2F021/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/692023/EU/Linking excellence in biomedical knowledge and computational intelligence research for personalized management of CVD within PHC/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI13%2F01882/ES/Estudio preclínico de la implantación de parches de tejido cardiaco bioartificial electromecánicamente entrenados en un modelo de infarto de miocardio porcino/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//PLE2009-0152/ES/INVESTIGACION TRASLACIONAL PARA EL DESARROLLO DE UN BANCO DE MATRICES DE ORGANOS Y DE ORGANOS Y TEJIDOS BIOARTIFICIALES AUTOLOGOS PARA TRASPLANTE/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI13-00903/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI14%2F00857/ES/Caracterización No-invasiva de los Mecanismos de Mantenimiento de la Fibrilación Auricular. Estudio PERSONALIZE-AF/ | |
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 | Rodrigo Bort, M.; Climent, A.; Liberos Mascarell, A.; Calvo, D.; Fernandez-Aviles, F.; Berenfeld, O.; Atienza, F.... (2016). Identification of Dominant Excitation Patterns and Sources of Atrial Fibrillation by Causality Analysis. Annals of Biomedical Engineering. 44(8):2364-2376. https://doi.org/10.1007/s10439-015-1534-x | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1007/s10439-015-1534-x | es_ES |
dc.description.upvformatpinicio | 2364 | es_ES |
dc.description.upvformatpfin | 2376 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 44 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.senia | 324200 | es_ES |
dc.identifier.pmid | 26850022 | en_EN |
dc.identifier.pmcid | PMC5568434 | en_EN |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Medtronic, Estados Unidos | es_ES |
dc.contributor.funder | Centro Nacional de Investigaciones Cardiovasculares | es_ES |
dc.contributor.funder | St. Jude Medical | es_ES |
dc.contributor.funder | Sociedad Española de Cardiología | es_ES |
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