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Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation

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Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation

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dc.contributor.author Julián, M. es_ES
dc.contributor.author Alcaraz, R. es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2015-06-15T14:01:31Z
dc.date.available 2015-06-15T14:01:31Z
dc.date.issued 2014-05-01
dc.identifier.issn 0010-4825
dc.identifier.uri http://hdl.handle.net/10251/51728
dc.description.abstract Atrial fibrillation (AF) is today the most common sustained arrhythmia, its treatment being not completely satisfactory. Electrical activity organization analysis within the atria could play a key role in the improvement of current AF therapies. The application of a nonlinear regularity index, such as sample entropy (SampEn), to the atrial activity (AA) fundamental waveform has proven to be a successful noninvasive AF organization estimator. However, the use of alternative nonlinear metrics within this context is a pending issue. The present work analyzes the ability of several nonlinear indices to assess regularity of patterns and, thus, organization, in the AA signal and its fundamental waveform, defined as the main atrial wave (MAW). Precisely, Fuzzy Entropy, Spectral Entropy, Lempel-Ziv Complexity and Hurst Exponents were studied, achieving more robust and accurate AF organization estimates than SampEn. Results also provided better AF organization estimates from the MAW than from the AA signal for all the tested nonlinear metrics, which agrees with previous works only focused on SampEn. Furthermore, some of these indices reported a discriminant ability close to 95% in the classification of AF organization-dependent events, thus outperforming the diagnostic accuracy of SampEn and other widely used noninvasive estimators, such as the dominant atrial frequency (DAF). As a conclusion, these nonlinear metrics could be considered as promising estimators of noninvasive AF organization and could be helpful in making appropriate decisions on the patients' management. es_ES
dc.description.sponsorship Work supported by TEC2010-20633 from the Spanish Ministry of Science and Innovation, TEC2013-41428-R from the Spanish Ministry of Economy and Competitiveness and PPII11-0194-8121 from Junta de Comunidades de Castilla-La Mancha. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministry of Science and Innovation [TEC2010-20633] es_ES
dc.relation Spanish Ministry of Economy and Competitiveness [TEC2013-41428-R] es_ES
dc.relation Junta de Comunidades de Castilla-La Mancha [PPII11-0194-8121] es_ES
dc.relation.ispartof Computers in Biology and Medicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Electrocardiogram es_ES
dc.subject Main atrial wave es_ES
dc.subject Nonlinear analysis metrics es_ES
dc.subject Organization es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compbiomed.2014.02.010
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. Grupo de ingeniería en bioseñales e imagen radiológica es_ES
dc.description.bibliographicCitation Julián, M.; Alcaraz, R.; Rieta, JJ. (2014). Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation. Computers in Biology and Medicine. 48:66-76. doi:10.1016/j.compbiomed.2014.02.010 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compbiomed.2014.02.010 es_ES
dc.description.upvformatpinicio 66 es_ES
dc.description.upvformatpfin 76 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.relation.senia 285760


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