Cycle Length Evaluation in Persistent Atrial Fibrillation Using Kernel Density Estimation to Identify Transient and...

Area of Science:

• Electrophysiology
• Cardiac Arrhythmia Research
• Medical Device Technology

Background:

• Atrial fibrillation (AF) ablation success is linked to specific left atrial (LA) rapid activity sites.
• Identifying these rapid and regular AF drivers is crucial for effective catheter ablation strategies.

Purpose of the Study:

• To describe and validate a novel technique for identifying rapid and regular left atrial (LA) activity during persistent AF (psAF).
• To assess the utility of Dominant Cycle Length (DCL) as a marker for psAF drivers.

Main Methods:

• Analysis of 8-second AF electrograms from LA regions during ablation for psAF.
• Manual annotation of local activation on bipolar and unipolar signals.
• Calculation of Dominant Cycle Length (DCL) using probability density functions and kernel density estimation.

Main Results:

• High inter-annotator correlation (Spearman's 0.758) and segment length correlation (0.837-0.94).
• Significant correlation between DCL and averaging (0.79), but weaker correlation with Dominant Frequency (DF) (0.541), especially in less organized segments.
• DCL demonstrated reliability in quantifying rapid atrial activity.

Conclusions:

• Dominant Cycle Length (DCL) is a viable method for identifying rapid atrial activity indicative of psAF drivers.
• This technique allows for patient-specific evaluation of psAF dynamics.
• Automation of DCL analysis could expedite the identification of ablation targets in psAF.