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Gaussian modeling of the P-wave morphology time course applied to anticipate paroxysmal atrial fibrillation

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Gaussian modeling of the P-wave morphology time course applied to anticipate paroxysmal atrial fibrillation

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Martínez, A.; Alcaraz, R.; Rieta, JJ. (2015). Gaussian modeling of the P-wave morphology time course applied to anticipate paroxysmal atrial fibrillation. Computer Methods in Biomechanics and Biomedical Engineering. 18(16):1775-1784. doi:10.1080/10255842.2014.964219

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64531

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Title: Gaussian modeling of the P-wave morphology time course applied to anticipate paroxysmal atrial fibrillation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
This paper introduces a new algorithm to quantify the P-wave morphology time course with the aim of anticipating as much as possible the onset of paroxysmal atrial fibrillation (PAF). The method is based on modeling each ...[+]
Subjects: Atrial fibrillation , Electrocardiogram , Time course , Morphological analysis , P-wave
Copyrigths: Cerrado
Source:
Computer Methods in Biomechanics and Biomedical Engineering. (issn: 1025-5842 )
DOI: 10.1080/10255842.2014.964219
Publisher:
Taylor & Francis: STM, Behavioural Science and Public Health Titles
Publisher version: http://dx.doi.org/10.1080/10255842.2014.964219
Thanks:
This work was supported by the projects TEC2010-20633 from the Spanish Ministry of Science and Innovation and PPII11-0194-8121 from Junta de Comunidades de Castilla La Mancha.
Type: Artículo

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