Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis
Goya-Esteban, Rebeca; Sandberg, Frida; Barquero-Perez, Oscar; Garcia-Alberola, Arcadio, et al. (2014). Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis. Medical & Biological Engineering & Computing, 52, (12), 1053 - 1060
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Published
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English
Authors:
Goya-Esteban, Rebeca
;
Sandberg, Frida
;
Barquero-Perez, Oscar
;
Garcia-Alberola, Arcadio
, et al.
Department:
Department of Biomedical Engineering
Abstract:
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.
Keywords:
Atrial fibrillation ;
F-wave morphology ;
Principal component analysis ;
Sample entropy ;
Circadian rhythm ;
Infradian rhythm ;
7-day Holter
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