Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis

Summary, in English

Short-term properties of atrial fibrillation (AF) frequency, f-wave morphology, and irregularity parameters have been thoroughly studied, but not long-term properties. In the present work, f-wave morphology is characterized by principal component analysis, introducing a novel temporal parameter defined by the cumulative normalized variance of the three largest principal components . Based on 7-day recordings from nine patients with stable chronic heart failure and persistent AF, long-term properties were studied in terms of , AF frequency, and sample entropy . The main result of the present study is that detection of circadian rhythms depends on the parameter considered: rhythms were found in six and five (AF frequency) patients, but not always in the same patient. Another important result is that circadian rhythms detected in 7-day recordings could not always be detected in 24-h periods, thus shedding new light on the results in previous studies which all were based on 24-h recordings. Infradian rhythms were found in four and one (AF frequency) patients.

• Author: Rebeca Goya-Esteban; Frida Sandberg; Oscar Barquero-Perez; Arcadio Garcia-Alberola; Leif Sörnmo; Jose Luis Rojo-Alvarez
• Department/s: Department of Biomedical Engineering
• Publishing year: 2014
• Language: English
• Pages: 1053-1060
• Publication/Series: Medical & Biological Engineering & Computing
• Volume: 52
• Issue: 12
• Links: http://dx.doi.org/10.1007/s11517-014-1199-x
• Document type: Journal article
• Publisher: Springer
• Topic: Other Medical Engineering
• Keywords: Atrial fibrillation; F-wave morphology; Principal component analysis; Sample entropy; Circadian rhythm; Infradian rhythm; 7-day Holter
• Status: Published
• ISBN/ISSN/Other: ISSN: 0140-0118