2005
DOI: 10.1016/j.jacc.2005.08.048
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Separating Atrial Flutter From Atrial Fibrillation With Apparent Electrocardiographic Organization Using Dominant and Narrow F-Wave Spectra

Abstract: In ambiguous ECGs with atypical F waves, spectral evidence for a solitary activation cycle separates AFL from AF with "apparent organization." This approach might improve bedside ECG diagnosis and shed light on intra-atrial organization of both rhythms.

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Cited by 31 publications
(38 citation statements)
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“…Thus, rather than dichotomizing AF and AT as disorganized or organized, respectively, it may be more accurate to place both rhythms along a continuous spectrum that can be tracked quantitatively. This extends the variability detected in otherwise regular non-cavotricuspid isthmus dependent macro-reentry (9,12,13) or forms of focal AT (14), or the ‘regularization’ in AF sometimes apparent to the naked eye. Results from this study provide spatiotemporal indices that could be used to track effective ablation lesion sets during ongoing AF ablation, to identify times of organization when cardioversion may require less energy, or ultimately for a functional classification of AF that enables therapy to be tailored to individual phenotypes.…”
Section: Discussionsupporting
confidence: 73%
“…Thus, rather than dichotomizing AF and AT as disorganized or organized, respectively, it may be more accurate to place both rhythms along a continuous spectrum that can be tracked quantitatively. This extends the variability detected in otherwise regular non-cavotricuspid isthmus dependent macro-reentry (9,12,13) or forms of focal AT (14), or the ‘regularization’ in AF sometimes apparent to the naked eye. Results from this study provide spatiotemporal indices that could be used to track effective ablation lesion sets during ongoing AF ablation, to identify times of organization when cardioversion may require less energy, or ultimately for a functional classification of AF that enables therapy to be tailored to individual phenotypes.…”
Section: Discussionsupporting
confidence: 73%
“…Spectra have been used to estimate CL from the ECG (15,16), yet they were inaccurate in this study, hindered by harmonics and noise (Fig. 2B.III).…”
Section: Discussionmentioning
confidence: 98%
“…AF regularity was quantified by organization index (OI), the ratio of areas under the DF and its first three harmonics (each for a 1-Hz window) to total spectral area from 2.5 Hz up to but not including the fifth harmonic. 18,19 OI near 1 indicates a narrow peak (“organized” AF), and lower OI indicates broad spectral DF (“disorganized” AF). Figures 1 and 2 show narrow spectral DF (high OI).…”
Section: Methodsmentioning
confidence: 99%