Paper Info
Title
Computational method for high resolution spectral analysis of fractionated atrial electrograms
Abstract
Background: The discrete Fourier transform (DFT) is often used as a spectral estimator for analysis of complex fractionated atrial electrograms (CFAE) acquired during atrial fibrillation (AF). However, time resolution can be unsatisfactory, as the frequency resolution is proportional to rate/time interval. In this study we compared the DFT to a new spectral estimator with improved time-frequency resolution. Method: Recently, a novel spectral estimator (NSE) based upon signal averaging was derived and implemented computationally. The NSE is similar to the DFT in that both estimators model the autocorrelation function to form the power spectrum. However, as derived in this study, NSE frequency resolution is proportional to rate/period^2 and thus unlike the DFT, is not directly dependent on the window length. We hypothesized that the NSE would provide improved time resolution while maintaining satisfactory frequency resolution for computation of CFAE spectral parameters. Window lengths of 8s, 4s, 2s, 1s, and 0.5s were used for analysis. Two criteria gauged estimator performance. Firstly, a periodic electrogram pattern with phase jitter was embedded in interference. The error in detecting the frequency of the periodic pattern was determined. Secondly, significant differences in spectral parameters for paroxysmal versus persistent AF data, which have known dissimilarities, were determined using the DFT versus NSE methods. The parameters measured were the dominant amplitude, dominant frequency, and mean spectral profile. Results: At all time resolutions, the error in detecting the frequency of the repeating electrogram pattern was less for NSE than for DFT (p
Year
DOI
Venue
2013
10.1016/j.compbiomed.2013.07.033
Comp. in Bio. and Med.
Keywords
DocType
Volume
Atrial fibrillation,Dominant frequency,Ensemble averaging,Fourier analysis,Spectral estimation
Journal
43
Issue
ISSN
Citations 
10
0010-4825
3
PageRank 
References 
Authors
0.84
5
3
Name
Order
Citations
PageRank
Edward J. Ciaccio116530.79
Angelo B. Biviano273.13
Hasan Garan3157.97