Complex fractionated atrial electrograms: properties of time-domain versus frequency-domain methods.

BACKGROUND Complex fractionated atrial electrograms (CFAEs) are thought to identify high-frequency electrical sources and have become an important target for radiofrequency ablation of atrial fibrillation (AF). Methods used to identify CFAEs and locate suitable ablation sites usually depend on subjective analysis of the electrograms but may also involve objective, computer-based paradigms through either time- or frequency-domain approaches. METHODS We generated a set of simulated test electrograms, which were defined by a combination of a basic cycle length, phase-resetting noise, and phase-preserving noise, accounting for far-field effects. The simulated electrograms were analyzed separately by well-known basic time-domain (complex fractionated electrogram [CFE]) and frequency-domain (dominant frequency [DF]) methods, and the results were compared with each other to determine objectively the potential reliability of either method to accurately estimate the cycle length of the atrial electrogram. RESULTS The behavior of the time-domain method depends on the assumed amplitude-sensitivity threshold and can be tuned to its optimal performance but only for signals having stable (and known a priori) amplitude. When the signal amplitude varies randomly (with +/-20% standard deviation range), the time-domain method loses performance. By contrast, the performance of the frequency-domain method remains stable. CONCLUSION Despite potentially good performance of time-domain methods to estimate the cycle length during AF and localize ablation sites, their performance is easily prone to degradation. The frequency-domain method seems to be much more robust.

[1]  P. Sanders,et al.  Putting CFAE on the Map , 2008, Journal of cardiovascular electrophysiology.

[2]  B. Zrenner,et al.  Automatic 3D Mapping of Complex Fractionated Atrial Electrograms (CFAE) in Patients with Paroxysmal and Persistent Atrial Fibrillation , 2008, Journal of cardiovascular electrophysiology.

[3]  M. Allessie,et al.  Configuration of unipolar atrial electrograms during electrically induced atrial fibrillation in humans. , 1997, Circulation.

[4]  Edward J. Vigmond,et al.  Estimating Atrial Action Potential Duration from Electrograms , 2009, IEEE Transactions on Biomedical Engineering.

[5]  Javier Moreno,et al.  Activation of Inward Rectifier Potassium Channels Accelerates Atrial Fibrillation in Humans: Evidence for a Reentrant Mechanism , 2006, Circulation.

[6]  OmerBerenfeld,et al.  Spectral Analysis Identifies Sites of High-Frequency Activity Maintaining Atrial Fibrillation in Humans , 2005 .

[7]  A. Waldo,et al.  Technical Considerations for Dominant Frequency Analysis , 2008 .

[8]  F. Morady,et al.  Noninducibility of Atrial Fibrillation as an End Point of Left Atrial Circumferential Ablation for Paroxysmal Atrial Fibrillation: A Randomized Study , 2004, Circulation.

[9]  M. Mansour,et al.  Spatially Distributed Dominant Excitation Frequencies Reveal Hidden Organization in Atrial Fibrillation in the Langendorff‐Perfused Sheep Heart , 2000, Journal of cardiovascular electrophysiology.

[10]  Atul Verma,et al.  A prospective, multicenter evaluation of ablating complex fractionated electrograms (CFEs) during atrial fibrillation (AF) identified by an automated mapping algorithm: acute effects on AF and efficacy as an adjuvant strategy. , 2008, Heart rhythm.

[11]  Bernhard Tilg,et al.  On Computing Dominant Frequency From Bipolar Intracardiac Electrograms , 2007, IEEE Transactions on Biomedical Engineering.

[12]  K. Nademanee,et al.  A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate. , 2004, Journal of the American College of Cardiology.

[13]  F. Marchlinski,et al.  Complex Fractionated Electrogram Distribution and Temporal Stability in Patients Undergoing Atrial Fibrillation Ablation , 2008, Journal of cardiovascular electrophysiology.

[14]  Robert Ploutz-Snyder,et al.  Real-time dominant frequency mapping and ablation of dominant frequency sites in atrial fibrillation with left-to-right frequency gradients predicts long-term maintenance of sinus rhythm. , 2009, Heart rhythm.

[15]  A. Waldo,et al.  Radiofrequency Catheter Ablation of Chronic Atrial Fibrillation Guided by Complex Electrograms , 2008 .