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A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation

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A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation

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dc.contributor.author García, M. es_ES
dc.contributor.author Martínez, Miguel es_ES
dc.contributor.author Ródenas, Juan es_ES
dc.contributor.author Rieta, J J es_ES
dc.contributor.author Alcaraz, R. es_ES
dc.date.accessioned 2019-09-21T20:02:51Z
dc.date.available 2019-09-21T20:02:51Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0967-3334 es_ES
dc.identifier.uri http://hdl.handle.net/10251/126161
dc.description This is an author-created, un-copyedited versíon of an article published in Physiological Measurement. IOP Publishing Ltd is not responsíble for any errors or omissíons in this versíon of the manuscript or any versíon derived from it. The Versíon of Record is available online at http://doi.org/10.1088/1361-6579/aae8b1
dc.description.abstract [EN] Objective: The electrocardiogram (ECG) is currently the most widely used recording to diagnose cardiac disorders, including the most common supraventricular arrhythmia, such as atrial fibrillation (AF). However, different types of electrical disturbances, in which power-line interference (PLI) is a major problem, can mask and distort the original ECG morphology. This is a significant issue in the context of AF, because accurate characterization of fibrillatory waves (f-waves) is unavoidably required to improve current knowledge about its mechanisms. This work introduces a new algorithm able to reduce high levels of PLI and preserve, simultaneously, the original ECG morphology. Approach: The method is based on stationary wavelet transform shrinking and makes use of a new thresholding function designed to work successfully in a wide variety of scenarios. In fact, it has been validated in a general context with 48 ECG recordings obtained from pathological and non-pathological conditions, as well as in the particular context of AF, where 380 synthesized and 20 long-term real ECG recordings were analyzed. Main results: In both situations, the algorithm has reported a notably better performance than common methods designed for the same purpose. Moreover, its effectiveness has proven to be optimal for dealing with ECG recordings affected by AF, sincef-waves remained almost intact after removing very high levels of noise. Significance: The proposed algorithm may facilitate a reliable characterization of thef-waves, preventing them from not being masked by the PLI nor distorted by an unsuitable filtering applied to ECG recordings with AF. es_ES
dc.description.sponsorship Research supported by grants DPI2017-83952-C3 MINECO/AEI/FEDER, UE and SBPLY/17/180501/000411 from Junta de Comunidades de Castilla-La Mancha. es_ES
dc.language Inglés es_ES
dc.publisher IOP Publishing es_ES
dc.relation JCCM/SBPLY/17/180501/000411 es_ES
dc.relation JCCM/DPI2017-83952-C3 MINECO/AEI/FEDER es_ES
dc.relation.ispartof Physiological Measurement es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Electrocardiogram es_ES
dc.subject Filtering es_ES
dc.subject Power line interference es_ES
dc.subject Stationary wavelet transform es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/1361-6579/aae8b1 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 García, M.; Martínez, M.; Ródenas, J.; Rieta, JJ.; Alcaraz, R. (2018). A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation. Physiological Measurement. 39(11):1-15. https://doi.org/10.1088/1361-6579/aae8b1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1088/1361-6579/aae8b1 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 39 es_ES
dc.description.issue 11 es_ES
dc.identifier.pmid 30475747
dc.relation.pasarela S\386382 es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES


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