Technical Considerations for Dominant Frequency Analysis

Introduction: Dominant frequency (DF) analysis of atrial electrograms has been used to characterize atrial fibrillation (AF). The aim of this study was to explore technical issues that may affect the estimation of local activation rate during AF using DF analysis. Methods and Results: Epicardial atr...

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Vydáno v:Journal of cardiovascular electrophysiology Ročník 18; číslo 7; s. 757 - 764
Hlavní autoři: NG, JASON, KADISH, ALAN H., GOLDBERGER, JEFFREY J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Malden, USA Blackwell Publishing Inc 01.07.2007
Témata:
Animals
arrhythmia
Atrial Fibrillation - diagnosis
Atrial Fibrillation - physiopathology
Dogs
dominant frequency
Electrocardiography - methods
electrograms
fibrillation
Fourier Analysis
Heart Atria - physiopathology
Heart Conduction System - physiology
spectral analysis
ISSN:1045-3873, 1540-8167, 1540-8167
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Shrnutí:Introduction: Dominant frequency (DF) analysis of atrial electrograms has been used to characterize atrial fibrillation (AF). The aim of this study was to explore technical issues that may affect the estimation of local activation rate during AF using DF analysis. Methods and Results: Epicardial atrial electrograms recorded during AF from 10 dogs were used to evaluate the effects of unipolar versus bipolar recordings, bipolar electrode spacing, postrecording processing, far field ventricular depolarizations, ventricular template subtraction, and signal duration on DF analysis. Simulated electrograms were used to evaluate the effect of far field ventricular depolarizations and signal‐to‐noise ratio. DFs were compared with activation rates obtained by manual marking and the reproducibility of the DFs was evaluated. Bipolar electrograms were found to be preferable to unipolar electrograms. Preprocessing was a necessary step for bipolar signals, but also aided analysis of unipolar recordings. Ventricular far field depolarizations significantly affected DFs. Ventricular template subtraction helped DF analysis in signals with both minimal and significant ventricular components. A recording duration above 2 seconds was required for reliable DF measurements. Signal‐to‐noise ratios below 13 dB could also affect DF, particularly for signals with significant amplitude and frequency variation. Conclusions: Various factors affect DF analysis. Proper interpretation of DF analysis requires careful evaluation of the AF signals and robust processing techniques.
Bibliografie:ArticleID:JCE810
istex:7DC1E8C28080B57A9ADBEFD2D2C38710AE99C29D
ark:/67375/WNG-DG31JKRR-X
Manuscript received 11 October 2006; Revised manuscript received 6 February 2007; Accepted for publication 12 February 2007.
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ISSN:1045-3873
1540-8167
1540-8167
DOI:10.1111/j.1540-8167.2007.00810.x