DocumentCode :
2468173
Title :
Beat to beat wavelet variability in atrial fibrillation
Author :
Filos, D. ; Chouvarda, I. ; Dakos, G. ; Vassilikos, V. ; Maglaveras, N.
Author_Institution :
Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
953
Lastpage :
956
Abstract :
Atrial fibrillation (AF) is a complex phenomenon, related with a multitude of factors, including the electrical properties of the atrial substrate. The purpose of this work is to present a method that highlights electrocardiographic differences between normal subjects and patients with paroxysmal AF episodes (PAF), potentially related with substrate differences. Vectorcardiography recordings are considered and, for each lead (X-Y-Z), on a beat by beat basis, a steady window before QRS, corresponding to the atrial activity, is analysed via continuous wavelet transform. Wavelet-based parameters are calculated and compared between the normal and AF group, with the beat to beat variation of wavelet energy as the most important feature showing a significantly higher variability in the AF group.
Keywords :
Atrial fibrillation; Electrocardiography; Lead; Morphology; Substrates; Wavelet analysis; Wavelet transforms; Algorithms; Atrial Fibrillation; Diagnosis, Computer-Assisted; Heart Rate; Humans; Reproducibility of Results; Sensitivity and Specificity; Vectorcardiography; Wavelet Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090215
Filename :
6090215
Link To Document :
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