Application of the Wavelet Transform to Quantify the Organization in Paroxysmal and Persistent Atrial Fibrillation

Cervigon R., Sanchez C., Millet J.

8th WSEAS Int Conference on Signal Processing/3rd WSEAS Int Symposium on Wavelets Theory and Applicat in Appl Math, Signal Proc and Modern Sci, İstanbul, Turkey, 30 May - 01 June 2009, pp.122-123 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.122-123
  • Istanbul Technical University Affiliated: No


Recently the spatiotemporal organization has been demonstrated in atrial fibrillation (AF), identifying localized sites of high-frequency activity during AF in humans with different distribution in paroxysmal and persistent AF. In this study bipolar intra-atrial registers from 28 patients (14 paroxysmal AF, and 14 persistent AF) were analyzed in order to find out regional differences in the organization in both types of arrhythmias. The wavelet variance decomposes the variance of a time series on a scale by scale basis and hence has considerable appeal when physical phenomena are analyzed in terms of variations operating over a range of different scales. The proposed methodology provides an additional approach to the understanding of the arrhythmia. The findings highlight a small relation between atrial waves in patients with persistent AF, and a higher organization along the atria in the paroxysmal group.