Memorias de investigación
Ponencias en congresos:
A Hierarchical Algorithm for Causality Discovery among Atrial Fibrillation Electrograms
Año:2016

Áreas de investigación
  • Biomedicina,
  • Tecnología electrónica y de las comunicaciones

Datos
Descripción
Multi-channel intracardiac electrocardiograms (electrograms) are sequentially acquired, at the electrophysiology laboratory, in order to guide radio frequency catheter ablation during heart surgery performed on patients with sustained atrial fibrillation (AF). These electrograms are used by cardiologists to determine candidate areas for ablation (e.g., areas corresponding to high dominant frequencies or complex fractionated electrograms). In this paper, we introduce a novel hierarchical algorithm for causality discovery among these multi-output sequentially acquired electrograms. The causal model obtained provides important information about the propagation of the electrical signals inside the heart, uncovering wavefronts and activation patterns that will serve to increase our knowledge about AF and guide cardiologists towards candidate areas for catheter ablation. Numerical results on synthetic signals, generated using the FitzHugh-Nagumo model, show the good performance of the proposed approach.
Internacional
Si
Nombre congreso
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Tipo de participación
970
Lugar del congreso
Shanghai (China)
Revisores
Si
ISBN o ISSN
978-1-4799-9988-0
DOI
10.1109/ICASSP.2016.7471780
Fecha inicio congreso
20/03/2016
Fecha fin congreso
25/03/2016
Desde la página
774
Hasta la página
778
Título de las actas
Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: David Luengo Garcia UPM
  • Autor: Gonzalo Ríos-Muñoz Universidad Carlos III de Madrid
  • Autor: Víctor Elvira Universidad Carlos III de Madrid
  • Autor: Antonio Artes-Rodríguez Universidad Carlos III de Madrid

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Teoría de Aproximación Constructiva y Aplicaciones
  • Departamento: Teoría de la Señal y Comunicaciones (Provisional)