Removing ventricular far-field signals in intracardiac electrograms during stable XXXX using the periodic component analysis.

@entity591 @entity67 @entity943
BACKGROUND: Intracardiac electrograms are an indispensable part during diagnosis of @entity943 , but atrial activity (AA) can be obscured by @entity67 ( @entity67 ). Concepts based on statistical independence like principal component analysis (PCA) cannot be applied for @entity67 removal during @entity591 with stable conduction. METHODS: A database of realistic electrograms containing AA and @entity67 was generated. Both PCA and the new technique periodic component analysis (  CA) were implemented, benchmarked, and applied to clinical data. RESULTS: The concept of   CA was successfully verified to retain compromised AA morphology, showing high correlation (cc=0.98  0.01) for stable atrial cycle length (ACL). Performance of PCA failed during temporal coupling (cc=0.03  0.08) but improved for increasing conduction variability (cc=0.77  0.14). Stability of ACL was identified as a critical parameter for   CA application. Analysis of clinical data confirmed these findings. CONCLUSION:   CA is introduced as a powerful new technique for artifact removal in periodic signals. Its concept and performance were benchmarked against PCA using simulated data and demonstrated on measured electrograms.
