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Electrocardiographic Spectral Features for Long-Term Outcome Prognosis of Atrial Fibrillation Catheter Ablation

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Electrocardiographic Spectral Features for Long-Term Outcome Prognosis of Atrial Fibrillation Catheter Ablation

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Nombre: R. Alcaraz;F. ...
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dc.contributor.author Alcaraz, Raúl es_ES
dc.contributor.author Hornero, Fernando es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2017-03-07T15:03:42Z
dc.date.available 2017-03-07T15:03:42Z
dc.date.issued 2016-11
dc.identifier.issn 0090-6964
dc.identifier.uri http://hdl.handle.net/10251/78556
dc.description.abstract Atrial fibrillation (AF) is the most common arrhythmia in routine clinical practice. Despite many years of research, its mechanisms still are not well understood, thus reducing the effectiveness of AF treatments. Nowadays, pulmonary vein isolation by catheter ablation is the treat- ment of choice for AF resistant either to pharmacological or electrical cardioversion. However, given that long-term recurrences are common, an appropriate patient selection before the procedure is of paramount relevance in the improvement of AF catheter ablation outcome. The present work studies how several spectral features of the atrial activity (AA) from a single lead of the surface electrocardio- gram (ECG) can become potential pre-ablation predictors of long-term (>2 months) sinus rhythm maintenance. Among all the analyzed spectral features, results indicated that the most significant single predictor of paroxysmal AF ablation treatment outcome was related to the amplitude of the first harmonic of the dominant frequency, providing sensitivity (Se), specificity (Sp) and accuracy (Ac) values of 90%, 42.86 and 77.78%, respectively. On the other hand, the AA harmonic structure was the most significant single predictor for persistent AF, with Se, Sp and Ac values of 100%, 54.55 and 77.27%, respectively. A logistic regression analysis, mainly based on spectral amplitudes as well as on the harmonic structure of the AA, provided a higher predictive ability both for paroxysmal AF (Se = 100%, Sp = 57.14% and Ac = 88.89%) and persistent AF (Se = 90.91%, Sp = 72.73 and Ac = 81.82%). In conclusion, the study of key AA spectral features from the surface ECG can provide a significant preoperative prognosis of AF catheter ablation outcome at long-term follow-up. es_ES
dc.description.sponsorship Research funded by Grants TEC2014-52250-R from the Spanish Ministry of Economy and Competitiveness and PPII-2014-026-P from Junta de Comunidades de Castilla-La Mancha. 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 Atrial fibrillation es_ES
dc.subject Catheter ablation es_ES
dc.subject Electrocardiogram es_ES
dc.subject Spectral analysis es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Electrocardiographic Spectral Features for Long-Term Outcome Prognosis of Atrial Fibrillation Catheter Ablation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10439-016-1641-3
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2014-52250-R/ES/CUANTIFICACION DEL REMODELADO ELECTROANATOMICO EN ARRITMIAS CARDIACAS. DE LA INVESTIGACION A LA TERAPIA PERSONALIZADA./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCCM//PPII-2014-026-P/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia 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 Alcaraz, R.; Hornero, F.; Rieta, JJ. (2016). Electrocardiographic Spectral Features for Long-Term Outcome Prognosis of Atrial Fibrillation Catheter Ablation. Annals of Biomedical Engineering. 44(11):3307-3318. https://doi.org/10.1007/s10439-016-1641-3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s10439-016-1641-3 es_ES
dc.description.upvformatpinicio 3307 es_ES
dc.description.upvformatpfin 3318 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 44 es_ES
dc.description.issue 11 es_ES
dc.relation.senia 322066 es_ES
dc.identifier.eissn 1573-9686
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES
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