Minimum Time Duration for Detecting Phase Singularities in Human Persistent Atrial Fibrillation

Shamsu Idris Abdullahi1, Noor Qaqos1, Ekenedirichukwu Nelson Obianom1, Fan Feng2, Abdulhamed Mohammed Jasim1, G. Andre Ng1, Xin Li1
1University of Leicester, 2Uni of Leicester


Abstract

Atrial fibrillation (AF) is a leading cause of cardiovascular morbidity, affecting millions globally[1], Phase singularity density maps play a crucial role in cardiac electrophysiology by identifying arrhythmogenic substrates. However, the ideal duration for capturing reliable phase singularity data remains uncertain. This study examines the correlation between phase singularity density maps generated from different durations and a 3-minute gold standard. Electrophysiological data from 10 patients were analyzed using MATLAB, with maps computed for time frames ranging from 5 to 180 seconds. The results show a strong correlation (average coefficient > 0.85) for durations longer than 60 seconds, indicating that shorter acquisition times may be sufficient for accurate analysis. These findings could help optimize clinical workflows in cardiac electrophysiology.