title: Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation.
abstract: Circadian variation in atrial fibrillation (AF) frequency is explored in this paper by employing recent advances in signal processing. Once the AF frequency has been estimated and tracked by a hidden Markov model approach, the resulting trend is analyzed for the purpose of detecting and characterizing the presence of circadian variation. With cosinor analysis, the results show that the short-term variations in the AF frequency exceed the variation that may be attributed to circadian. Using the autocorrelation method, circadian variation was found in 13 of 18 ambulatory ECG recordings (Holter) acquired from patients with long-standing persistent AF. Using the ensemble correlation method, the highest AF frequency usually occurred during the afternoon, whereas the lowest usually occurred during late night. It is concluded that circadian variation is present in most patients with long-standing persistent AF though the short-term variation in the AF frequency is considerable and should be taken into account.
authors.affiliation: Department of Electrical and Information Technology, Center for Integrative Electrocardiology, Lund University, Sweden. frida.sandberg@eit.lth.se
authors.forename: Frida
authors.initials: F
authors.lastname: Sandberg
authors.forename: Andreas
authors.initials: A
authors.lastname: Bollmann
authors.forename: Daniela
authors.initials: D
authors.lastname: Husser
authors.forename: Martin
authors.initials: M
authors.lastname: Stridh
authors.forename: Leif
authors.initials: L
authors.lastname: Sörnmo
mesh_terms: D001281:Atrial Fibrillation / Q000503:physiopathology*; D002940:Circadian Rhythm; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods*; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular; D009991:Oscillometry / Q000379:methods*