PO-01-073 TRACKING CHANGES IN AF CYCLE LENGTH AND COMPLEXITY: VALIDATION OF A SIGNAL COMPLEXITY ALGORITHM

For patients with persistent atrial fibrillation (AF), several ablation strategies in addition to pulmonary vein isolation (PVI) have been proposed. While some may aim achieve termination of AF by ablation, no standardized analytics exist quantify and visualize change rhythm throughout the procedure. This study explored a new signal complexity algorithm for continuous analysis visualization parameters using data collected during (PsAF). Data was from diagnosed PsAF scheduled at NYU Langone Medical Center between July November 2022. The procedure consisted 3D navigation guided wide area circumferential followed an inferior posterior line roof complete wall left atrium. After DC cardioversion, additional based on electrogram voltage induction techniques performed. Intracardiac signals CS catheter were recorded simultaneously Claris EP recording system (Abbott, USA) novel Recording System (ECGenius System, CathVision, Denmark). Timestamps crucial steps, including completion PVI anatomical lines, noted ECGenius event log. During each step procedure, operator asked note any visual changes rhythm. analyzed off-line proprietary Signal Complexity calculate cycle length, variability, fractionation, dominant frequency. Values calculated distal proximal electrodes visualized as color map. enrolled 12 (5 females) mean age 68.1 years (SD = 12.2). A 42 minutes recordings per patient. able baseline variability measured parameter 10 one or more post-ablation significantly different (p < 0.01, see fig. 1). On five occasions, these not detected operator. showed that is capable them format help related strategy otherwise unnoticed. Whilst coincided their clinical procedural relevance remain be determined.