Publication: Causality analysis of atrial fibrillation electrograms
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Identifiers
ISSN: 2325-887X-3 (online)
ISSN: 2325-8861-2 (print)
ISBN: 978-1-5090-0684-7 (online)
ISBN: 978-1-5090-0685-4 (print)
UXXI: CC/0000033183
Publication date
2015-09-06
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Tutors
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Publisher
IEEE
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Abstract
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.
Description
Proceeding of 2015 Computing in Cardiology Conference (CinC 2015), September 6-9, 2015, Nice, France
Keywords
Silicon, Reactive power, Catheters, Heart, Standards, Sensors, Rotors
Bibliographic citation
2015 Computing in Cardiology Conference (CinC 2015), September 6-9, 2015, Nice, France (pp. 585-588.) Estados Unidos: IEEE.