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Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

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Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

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Alcaraz, R.; Rieta Ibañez, JJ. (2012). Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG. Computational and Mathematical Methods in Medicine. 2012(245213):1-9. doi:10.1155/2012/245213

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/45360

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Title: Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice, thus, being the subject of intensive research both in medicine and engineering. Wavelet Entropy (WE) is a measure of the disorder ...[+]
Subjects: Atrial fibrillation , ECG , Signal processing , Wavelet transform , Sample Entropy
Copyrigths: Reconocimiento (by)
Source:
Computational and Mathematical Methods in Medicine. (issn: 1748-670X )
DOI: 10.1155/2012/245213
Publisher:
Hindawi Publishing Corporation
Publisher version: http://dx.doi.org/10.1155/2012/245213
Thanks:
This work was supported by the projects TEC2010-20633 from the Spanish Ministry of Science and Innovation and PPII11-0194-8121 and PII1C09-0036-3237 from Junta de Comunidades de Castilla-La Mancha.
Type: Artículo

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