The 62-lead ECG of CCW and CW typical atrial Fl in man is characterized by a stereotypical spatial voltage distribution that can be directly related to the underlying activation sequence and is highly specific to the direction of Fl wave rotation. The mean CCW and CW Fl wave integral maps present a unique reference set for improved clinical detection and classification of typical atrial Fl.

Although atrial fibrillation is a common arrhythmia, the underlying mechanisms are incompletely understood. Recent studies have determined the role of the crista terminalis in the mechanisms of a simpler arrhythmia, atrial flutter. We hypothesize that as transverse coupling across the crista terminalis increases, the activation pattern that results is less like typical atrial flutter and more like atrial fibrillation. 6480 Van Capelle elements were coupled in an icosahedron, simulating the right atrium. Atrial simulations were created which incorporated no heterogeneity, heterogeneous coupling, heterogeneous effective refractory periods, and both heterogeneous coupling and effective refractory periods. When the entire crista terminalis was uncoupled, typical atrial flutter occurred. When transverse coupling allowed activation to propagate across the crista terminalis, the flutter cycle length decreased (p<0.0001). In addition, when heterogeneity was present, both the coefficient of variation of cycle length and the number of activation wavelets increased (p<0.0001). Thus, a more rapid reentrant circuit in the superior right atrium drove fibrillatory activity in the remainder of the atrium, as predicted by the "mother wavelet hypothesis." While awaiting in vivo validation, our study indicates that transverse coupling along the crista terminalis may play an important role in the development of atrial fibrillation from atrial flutter.

Deconvolution estimated local activation time more accurately than the other metrics (P < .0001). Furthermore, the algorithm quantified changes in morphology (P < .0001) with superior performance, detecting electrograms recorded from regions of myocardial infarction. Thus, deconvolution, which incorporates a priori knowledge of electrogram morphology, shows promise to improve present clinical metrics.

These findings confirm our hypothesis that the spatial variation of morphology of electrograms recorded simultaneously from multiple sites increases with increasing heterogeneity of intercellular coupling.

An organized activation during atrial fibrillation with a predominant craniocaudal direction on the trabeculated right atrium is frequently present and influences the appearance of "coarse" or "fine" atrial fibrillation as well as F wave polarity on the surface ECG.

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Ablation to prevent cardiac arrhythmias requires interpretation of electrograms to locate the arrhythmogenic tissue. This study examined a novel signal processing technique employing deconvolution to calculate electrograms which best fit observed electrograms. We hypothesize that the power of difference between the calculated and the observed electrogram detects changes in morphology resulting from myocardial infarction. 380 electrograms were recorded from 10 dogs. Scintigraphic studies with Thallium-201 identified recording sites as normal or infarcted tissue. The power of the difference increased 65 percent for infarcted tissue as compared to normal tissue (p