DocumentCode
3562309
Title
Simple ablation guided by ApEn mapping in a 2D model during permanent atrial fibrillation
Author
Tobon, Catalina ; Palacio, Laura C. ; Duque, Juan E. ; Cardona, Esteban A. ; Ugarte, Juan P. ; Orozco-Duque, Andres ; Becerra, Miguel A. ; Saiz, Javier ; Bustamante, John
Author_Institution
GI2B, Inst. Tecnol. Metropolitano, Medellin, Colombia
fYear
2014
Firstpage
1029
Lastpage
1032
Abstract
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Catheter ablation has become the main therapeutic strategy for the treatment of paroxysmal AF, however, results in permanent AF are not completely satisfactory; complex ablation patterns are needed, thus it is of great interest to look for an ideal pattern with a minimum number of lines. Ablation of complex fractionated atrial electrograms (CFAE) has been proposed for the termination of rotors as mechanisms of AF maintenance. The aim of this work is to characterize the CFAE by implementing approximate entropy (ApEn) and to correlate it with the tip of a simulated rotor, in order to apply simple ablation patterns to terminate the rotor activity. For this, a rotor was simulated in a 2D model of human atrial tissue, under permanent AF conditions. Electrograms were recorded and an algorithm to measure ApEn was developed. Three ablation patterns were proposed and evaluated. The ApEn allowed locating the CFAE with high precision and relating them to the tip of the rotor. The ablation pattern that enclosed the rotor tip and that was extended to a conduction boundary was effective in the termination of the rotor. The ApEn could be very effective in identifying target sites for ablation.
Keywords
catheters; diseases; electrocardiography; patient treatment; 2D model; ApEn mapping guided ablation; approximate entropy; cardiac arrhythmia; complex fractionated atrial electrograms; conduction boundary; ctheter ablation; human atrial tissue; paroxysmal AF; permanent atrial fibrillation; therapeutic strategy; Abstracts; Catheters; Computational modeling; RNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7043221
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