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Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation

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Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation

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Mateo, J.; Rieta Ibañez, JJ. (2013). Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation. Computers in Biology and Medicine. 43(2):154-163. doi:10.1016/j.compbiomed.2012.11.007

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Title: Radial basis function neural networks applied to efficient QRST cancellation in atrial fibrillation
Author: Mateo, Jorge Rieta Ibañez, José Joaquín
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Grupo de ingeniería en bioseñales e imagen radiológica
Issued date:
Abstract:
The most extended noninvasive technique for medical diagnosis and analysis of atrial fibrillation (AF) relies on the surface elctrocardiogram (ECG). In order to take optimal profit of the ECG in the study of AF, it is ...[+]
Subjects: Electrocardiogram , ECG , QRST cancellation , Atrial fibrillation , Radial basis function , Neural networks
Copyrigths: Cerrado
Source:
Computers in Biology and Medicine. (issn: 0010-4825 )
DOI: 10.1016/j.compbiomed.2012.11.007
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.compbiomed.2012.11.007
Thanks:
This work has been supported by the projects TEC2010-20633 from the Spanish Ministry of Science and Innovation, PII1C09-0036-3237 and PII2C09-0224-5983 from Junta de Comunidades de Castilla la Mancha.
Type: Artículo

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