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Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation

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Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation

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dc.contributor.author García, Manuel es_ES
dc.contributor.author Ródenas García, Juan es_ES
dc.contributor.author Alcaraz, Raúl es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2017-03-09T15:35:26Z
dc.date.available 2017-03-09T15:35:26Z
dc.date.issued 2016-07
dc.identifier.issn 0169-2607
dc.identifier.uri http://hdl.handle.net/10251/78601
dc.description.abstract Background and Objectives: Atrial fibrillation (AF) is the most common sustained cardiac ar- rhythmia and a growing healthcare burden worldwide. It is often asymptomatic and may appear as episodes of very short duration; hence, the development of methods for its au- tomatic detection is a challenging requirement to achieve early diagnosis and treatment strategies. The present work introduces a novel method exploiting the relative wavelet energy (RWE) to automatically detect AF episodes of a wide variety in length. Methods: The proposed method analyzes the atrial activity of the surface electrocardio- gram (ECG), i.e., the TQ interval, thus being independent on the ventricular activity. To improve its performance under noisy recordings, signal averaging techniques were applied. The meth- od s performance has been tested with synthesized recordings under different AF variable conditions, such as the heart rate, its variability, the atrial activity amplitude or the pres- ence of noise. Next, the method was tested with real ECG recordings. Results: Results proved that the RWE provided a robust automatic detection of AF under wide ranges of heart rates, atrial activity amplitudes as well as noisy recordings. Moreover, the method s detection delay proved to be shorter than most of previous works. A trade-off between detection delay and noise robustness was reached by averaging 15 TQ intervals. Under these conditions, AF was detected in less than 7 beats, with an accuracy higher than 90%, which is comparable to previous works. Conclusions: Unlike most of previous works, which were mainly based on quantifying the irregular ventricular response during AF, the proposed metric presents two major advan- tages. First, it can perform successfully even under heart rates with no variability. Second, it consists of a single metric, thus turning its clinical interpretation and real-time imple- mentation easier than previous methods requiring combined indices under complex classifiers. es_ES
dc.description.sponsorship This work was supported by the projects 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 Elsevier es_ES
dc.relation.ispartof Computer Methods and Programs in Biomedicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Automatic detection es_ES
dc.subject Electrocardiogram es_ES
dc.subject Relative wavelet energy es_ES
dc.subject Stationary wavelet transform es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cmpb.2016.04.009
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. Grupo de ingeniería en bioseñales e imagen radiológica 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. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation García, M.; Ródenas García, J.; Alcaraz, R.; Rieta, JJ. (2016). Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation. Computer Methods and Programs in Biomedicine. 131:157-168. https://doi.org/10.1016/j.cmpb.2016.04.009 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.cmpb.2016.04.009 es_ES
dc.description.upvformatpinicio 157 es_ES
dc.description.upvformatpfin 168 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 131 es_ES
dc.relation.senia 321390 es_ES
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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