Localized AF drivers with repetitive activity are candidate ablation targets for patients with persistent atrial fibrillation (AF). High-density mapping electrodes cover only a fraction of the atria but combining sequential recordings could provide a more comprehensive picture of common repetitive atrial conduction characteristics and enable AF driver localization. We developed a novel algorithm to merge overlapping local activation maps into larger composite maps by linking repetitive patterns detected in neighboring locations with similar conduction directions and cycle lengths. Regions exhibiting high curl, divergence and heterogeneity in composite maps were marked as candidate reentry locations and were compared to those estimated through phase singularities and cycle length coverage maps from the individual recordings. The proposed algorithm led to better estimates of the underlying source density (sensitivity: 0.88/0.87/0.79, specificity: 0.85/0.85/0.68 for stable reentry, meandering reentry, and collision, respectively), compared to the maps from individual recordings (sensitivities 0.85/0.70/0.65 and 0.84/0.86/0.51, specificities 0.86/0.70/0.64 and 0.85/0.87/0.50 for phase singularity and CL coverage, respectively).

Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms / Özgül, Ozan; Marques, Victor G; Hermans, Ben; Van Hunnik, Arne; Verheule, Sander; Schotten, Ulrich; Gharaviri, Ali; Pezzuto, Simone; Auricchio, Angelo; Bonizzi, Pietro; Zeemering, Stef. - In: COMPUTING IN CARDIOLOGY. - ISSN 2325-8861. - 49:(2022). (Intervento presentato al convegno 2022 Computing in Cardiology, CinC 2022 tenutosi a Tampere, Finland nel 4th-7th Sep, 2022) [10.22489/CinC.2022.360].

Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms

Pezzuto, Simone;
2022-01-01

Abstract

Localized AF drivers with repetitive activity are candidate ablation targets for patients with persistent atrial fibrillation (AF). High-density mapping electrodes cover only a fraction of the atria but combining sequential recordings could provide a more comprehensive picture of common repetitive atrial conduction characteristics and enable AF driver localization. We developed a novel algorithm to merge overlapping local activation maps into larger composite maps by linking repetitive patterns detected in neighboring locations with similar conduction directions and cycle lengths. Regions exhibiting high curl, divergence and heterogeneity in composite maps were marked as candidate reentry locations and were compared to those estimated through phase singularities and cycle length coverage maps from the individual recordings. The proposed algorithm led to better estimates of the underlying source density (sensitivity: 0.88/0.87/0.79, specificity: 0.85/0.85/0.68 for stable reentry, meandering reentry, and collision, respectively), compared to the maps from individual recordings (sensitivities 0.85/0.70/0.65 and 0.84/0.86/0.51, specificities 0.86/0.70/0.64 and 0.85/0.87/0.50 for phase singularity and CL coverage, respectively).
2022
Computing in Cardiology
New York City
IEEE Computer Society
979-8-3503-0097-0
Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms / Özgül, Ozan; Marques, Victor G; Hermans, Ben; Van Hunnik, Arne; Verheule, Sander; Schotten, Ulrich; Gharaviri, Ali; Pezzuto, Simone; Auricchio, Angelo; Bonizzi, Pietro; Zeemering, Stef. - In: COMPUTING IN CARDIOLOGY. - ISSN 2325-8861. - 49:(2022). (Intervento presentato al convegno 2022 Computing in Cardiology, CinC 2022 tenutosi a Tampere, Finland nel 4th-7th Sep, 2022) [10.22489/CinC.2022.360].
Özgül, Ozan; Marques, Victor G; Hermans, Ben; Van Hunnik, Arne; Verheule, Sander; Schotten, Ulrich; Gharaviri, Ali; Pezzuto, Simone; Auricchio, Angelo...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/382830
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