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Atrial location optimization by electrical measures for Electrocardiographic Imaging

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Atrial location optimization by electrical measures for Electrocardiographic Imaging

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Gisbert Soler, V.; Jiménez-Serrano, S.; Roses-Albert, E.; Rodrigo Bort, M. (2020). Atrial location optimization by electrical measures for Electrocardiographic Imaging. Computers in Biology and Medicine. 127:1-8. https://doi.org/10.1016/j.compbiomed.2020.104031

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Título: Atrial location optimization by electrical measures for Electrocardiographic Imaging
Autor: Gisbert Soler, Víctor Jiménez-Serrano, Santiago Roses-Albert, Eduardo RODRIGO BORT, MIGUEL
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Fecha difusión:
Resumen:
[EN] Background: The Electrocardiographic Imaging (ECGI) technique, used to non-invasively reconstruct the epicardial electrical activity, requires an accurate model of the atria and torso anatomy. Here we evaluate a new ...[+]
Palabras clave: Inverse problem , L-curve curvature , Electrophysiology , Mapping , Dominant frequency , Phase analysis , Reentry , Rotor
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Computers in Biology and Medicine. (issn: 0010-4825 )
DOI: 10.1016/j.compbiomed.2020.104031
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.compbiomed.2020.104031
Código del Proyecto:
info:eu-repo/grantAgreement/GVA//APOSTD%2F2017%2F068/
info:eu-repo/grantAgreement/GVA//GV%2F2018%2F103/
Agradecimientos:
This work was supported in part by: Generalitat Valenciana Grants [APOSTD/2017] and projects [GVA/2018/103]; Nvidia Corporation with GPU QUADRO P6000 donation.
Tipo: Artículo

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