Causality analysis of atrial fibrillation electrograms

David Luengo*, Gonzalo Ríos Muñoz, Víctor Elvira

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Multi-channel intracardiac electrocardiograms (electrograms) are sequentially acquired during heart surgery performed on patients with sustained atrial fibrillation (AF) to guide radio frequency catheter ablation. These electrograms are used by cardiologists to determine candidate areas for ablation (e.g., areas corresponding to high dominant frequencies or complex electrograms). In this paper, we introduce a novel hierarchical causality analysis method for the multi-output sequentially acquired electrograms. The causal model obtained provides important information regarding delays among signals as well as the direction and strength of their causal connections. The tool developed may ultimately serve to guide cardiologists towards candidate areas for catheter ablation. Preliminary results on synthetic signals are used to validate the proposed approach.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference 2015, CinC 2015
EditorsAlan Murray
PublisherIEEE Computer Society
Pages585-588
Number of pages4
Volume42
ISBN (Electronic)9781509006854
DOIs
Publication statusPublished - 16 Feb 2015
Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duration: 6 Sept 20159 Sept 2015

Conference

Conference42nd Computing in Cardiology Conference, CinC 2015
Country/TerritoryFrance
CityNice
Period6/09/159/09/15

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