A hierarchical algorithm for causality discovery among atrial fibrillation electrograms

Luengo García, David and Ríos Muñoz, Gonzalo and Elvira Arregui, Víctor and Artés Rodríguez, Antonio (2016). A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. In: "The 41st IEEE International Conference on Acoustics, Speech and Signal Processing", 20/03/2016 - 25/03/2016, Shanghai (China). ISBN 978-1-4799-9988-0. pp. 774-778. https://doi.org/10.1109/ICASSP.2016.7471780.

Description

Title: A hierarchical algorithm for causality discovery among atrial fibrillation electrograms
Author/s:
  • Luengo García, David
  • Ríos Muñoz, Gonzalo
  • Elvira Arregui, Víctor
  • Artés Rodríguez, Antonio
Item Type: Presentation at Congress or Conference (Article)
Event Title: The 41st IEEE International Conference on Acoustics, Speech and Signal Processing
Event Dates: 20/03/2016 - 25/03/2016
Event Location: Shanghai (China)
Title of Book: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date: 2016
ISBN: 978-1-4799-9988-0
Subjects:
Freetext Keywords: Granger causality, electrocardiography, atrial fibrillation
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-38058-C03-01UnspecifiedUnspecifiedUnspecified

More information

Item ID: 46524
DC Identifier: http://oa.upm.es/46524/
OAI Identifier: oai:oa.upm.es:46524
DOI: 10.1109/ICASSP.2016.7471780
Official URL: http://www.icassp2016.org/default.asp
Deposited by: Memoria Investigacion
Deposited on: 19 Mar 2018 19:49
Last Modified: 19 Mar 2018 19:49
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