Title :
Time–Frequency Analysis of the Endocavitarian Signal in Paroxysmal Atrial Fibrillation
Author :
Pagana, G. ; Galleani, L. ; Gross, S. ; Roch, M.R. ; Pastore, E. ; Poggio, M. ; Quaranta, G.
Author_Institution :
DAUIN, Politec. di Torino, Torino, Italy
Abstract :
We apply the time-frequency analysis to the endocavitarian signal of patients suffering from paroxysmal atrial fibrillation. The time-frequency spectrum reveals the components of the endocavitarian signal. These components are located in the regions of the time-frequency domain that differ for in-rhythm and in-atrial fibrillation signals. By using experimental data, we perform a statistical study of these regions, and we obtain their average value. The difference in the shape of these regions is caused by the re-entry circuits that characterize atrial fibrillation. We propose a propagation model for atrial fibrillation based on the re-entry circuits, which explains the shape of the time-frequency spectrum.
Keywords :
bioelectric phenomena; cardiology; medical disorders; medical signal processing; patient diagnosis; statistical analysis; time-frequency analysis; atrial fibrillation propagation model; endocavitarian signal; in atrial fibrillation signals; in rhythm signals; paroxysmal atrial fibrillation; statistical study; time-frequency analysis; time-frequency domain; time-frequency spectrum shape; Frequency estimation; Pathology; Rhythm; Spectrogram; Standards; Substrates; Time frequency analysis; Atrial fibrillation; catheter ablation; nonstationary random processes; spectral analysis; statistical analysis; time-frequency analysis; Atrial Fibrillation; Electrocardiography; Humans; Models, Statistical; Signal Processing, Computer-Assisted; Time Factors;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2012.2211596