Recurrence Quantification Analysis as a tool for complex fractionated atrial electrogram discrimination.

Abstract : Atrial fibrillation is the most encountered pathology of the heart rate. The reasons of its occurrence and its particular characteristics remain unknown, resulting from complex phenomena interaction. From these interactions emerges Complex Fractionated Atrial Electrograms (CFAE) which are useful for the ablation procedure. This study presents a method based on nonlinear data analysis, the Recurrence Quantification Analysis (RQA) applied on intracardiac atrial electrograms to detect CFAE particularities. The results obtained on areas previously tagged by a cardilogist show a good sensitivity to CFAE. Combination of RQA features offers a larger discrimination potential for future automated detection.
Type de document :
Communication dans un congrès
Annual International Conference of the IEEE Engineering in Medicine and Biology Society., Sep 2012, San Diego, France. 2012, pp.4185-8, 2012, 〈10.1109/EMBC.2012.6346889〉
Liste complète des métadonnées

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00808473
Contributeur : Sabir Jacquir <>
Soumis le : vendredi 5 avril 2013 - 14:54:42
Dernière modification le : mercredi 12 septembre 2018 - 01:27:45

Identifiants

Collections

Citation

Nicolas Navoret, Sabir Jacquir, Gabriel Laurent, Stéphane Binczak. Recurrence Quantification Analysis as a tool for complex fractionated atrial electrogram discrimination.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society., Sep 2012, San Diego, France. 2012, pp.4185-8, 2012, 〈10.1109/EMBC.2012.6346889〉. 〈hal-00808473〉

Partager

Métriques

Consultations de la notice

152