Multiscale principal component analysis to predict atrial fibrillation reversion to sinus rhythm

The objective of this study was to evaluate potential of Multiscale principal Analysis (MSPCA) to extract information of atrial electrograms as predictors of atrial fibrillation (AF) recurrence after ablation. Database is composed of intra-atrial recordings from 43 AF patients that were registered previous to an ablation procedure. MSPCA was applied to each atrium and main frequency and entropy were determined. We could find differences in main frequency in the left atrium between patients from both groups. Moreover, patients that maintenance sinus rhythm group showed a dominant atrial frequency trend from right to left atrium. In addition, non-recurrent AF group showed an enhancement of differences of regularity between both atria. These differences show the efficiency of MSPCA to characterize cardiac dynamic. High frequency values and not differences in main atrial frequency along the right atrium may indicate that AF reversion to sinus rhythm is more difficult.