2005
DOI: 10.1111/j.1540-8167.2005.00320.x
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Use of Fast Fourier Transform Analysis of Atrial Electrograms for Rapid Characterization of Atrial Activation—Implications for Delineating Possible Mechanisms of Atrial Tachyarrhythmias

Abstract: FFT analysis accurately and rapidly identifies global atrial activation patterns during AFL, AT, and AF, thereby assisting in determining arrhythmia mechanisms.

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Cited by 32 publications
(42 citation statements)
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“…23 Thus, the pattern of fibrosis in CHF dogs is highly suggestive of replacement fibrosis after earlier damage to the atrial myocardium, as opposed to the reactive fibrosis pattern in LT goats. Interestingly, the pattern of fibrillatory conduction in CHF model is relatively simple, and consistent with macro-reentry, 24,25 as opposed to the complex fibrillation patterns observed in LT goats. 4 Although a direct comparison is not straightforward because of the different species and other confounding factors, this supports the notion that the exact type and distribution of fibrous tissue is at least as important as the overall degree of fibrosis.…”
Section: Discussionmentioning
confidence: 90%
“…23 Thus, the pattern of fibrosis in CHF dogs is highly suggestive of replacement fibrosis after earlier damage to the atrial myocardium, as opposed to the reactive fibrosis pattern in LT goats. Interestingly, the pattern of fibrillatory conduction in CHF model is relatively simple, and consistent with macro-reentry, 24,25 as opposed to the complex fibrillation patterns observed in LT goats. 4 Although a direct comparison is not straightforward because of the different species and other confounding factors, this supports the notion that the exact type and distribution of fibrous tissue is at least as important as the overall degree of fibrosis.…”
Section: Discussionmentioning
confidence: 90%
“…These differences in substrate (either structural or electrical) and conduction may in turn lead to differences in the characteristic and spatiotemporal organization of the AF in each model. Recently, several different signal analyses have been used to study the spatiotemporal organization of AF to gain insights into its mechanism, including frequency domain analysis (9,21,31,40) and crosscorrelation (6). Through frequency domain analysis, stable high-frequency areas have been shown as a characteristic of AF (40).…”
mentioning
confidence: 99%
“…In addition, several signal processing tools have been utilized to study the spatiotemporal organization of AF, and to gain insight into its characteristics and mechanisms. These tools include cross correlation (Botteron and Smith 1995), wavelet analysis (Lee et al 2004), entropy Richman and Moorman 2000), chaos theory (Garfinkel et al 1997;Gray and Jalife 1998), signal linearity (Sih et al 1999), and frequency domain analysis using the FFT Skanes et al 1998;Ryu et al 2006). All of these analyses are being used to help find organization within a seemingly chaotic rhythm, identifying and study mechanisms which could possibly be used to identify ablation sites (Pachon et al 2004;Sanders et al 2005), and to time defibrillation and pacing for AF termination ).…”
Section: Introductionmentioning
confidence: 99%