Latent variable analysis of causal interactions in atrial fibrillation electrograms

Luengo García, David and Elvira Arregui, Víctor (2016). Latent variable analysis of causal interactions in atrial fibrillation electrograms. In: "Computing in Cardiology (CinC) 2016", 11/09/2016 - 14/09/2016, Vancouver (Canadá). ISBN 978-1-5090-0896-4. pp. 981-984. https://doi.org/10.22489/CinC.2016.284-471.

Description

Title: Latent variable analysis of causal interactions in atrial fibrillation electrograms
Author/s:
  • Luengo García, David
  • Elvira Arregui, Víctor
Item Type: Presentation at Congress or Conference (Article)
Event Title: Computing in Cardiology (CinC) 2016
Event Dates: 11/09/2016 - 14/09/2016
Event Location: Vancouver (Canadá)
Title of Book: Computing in Cardiology
Date: 2016
ISBN: 978-1-5090-0896-4
Volume: 43
Subjects:
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 of atrial fibrillation (AF) patients are acquired at the electrophysiology laboratory in order to guide radiofrequency (RF) ablation surgery. Unfortunately, the success rate of RF ablation is still moderate, since the mechanisms underlying AF initiation and maintenance are still not precisely known. In this paper, we use an advanced machine learning model, the Gaussian process latent force model (GP-LFM), to infer the relationship between the observed signals and the unknown (latent or exogenous) sources causing them. The resulting GP-LFM provides valuable information about signal generation and propagation inside the heart, and can then be used to perform causal analysis. Results on realistic synthetic signals, generated using the FitzHugh-Nagumo model, are used to showcase the potential of the proposed approach.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2013-41718- ROTOSiSUnspecifiedUnspecified

More information

Item ID: 46531
DC Identifier: http://oa.upm.es/46531/
OAI Identifier: oai:oa.upm.es:46531
DOI: 10.22489/CinC.2016.284-471
Official URL: http://www.cinc2016.org/
Deposited by: Memoria Investigacion
Deposited on: 24 Apr 2018 16:34
Last Modified: 24 Apr 2018 16:34
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