Beat to beat wavelet variability in atrial fibrillation.
| Τίτλος | 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 |
| Λέξεις κλειδιά | 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 |
