Beat to beat wavelet variability in atrial fibrillation.
Title | Beat to beat wavelet variability in atrial fibrillation. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Filos, D., Chouvarda I., Dakos G., Vassilikos V., & Maglaveras N. |
Journal | Conf Proc IEEE Eng Med Biol Soc |
Volume | 2011 |
Pagination | 953-6 |
Date Published | 2011 |
ISSN | 1557-170X |
Keywords | Algorithms, Atrial Fibrillation, Diagnosis, Computer-Assisted, Heart Rate, Humans, Reproducibility of Results, Sensitivity and Specificity, Vectorcardiography, Wavelet Analysis |
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. |
DOI | 10.1109/IEMBS.2011.6090215 |
Alternate Journal | Conf Proc IEEE Eng Med Biol Soc |
PubMed ID | 22254469 |