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Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation

Sandberg, Frida LU ; Bollman, Andreas; Husser, Daniela; Stridh, Martin LU and Sörnmo, Leif LU (2010) In Physiological Measurement 31(4). p.531-542
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Physiological Measurement
volume
31
issue
4
pages
531 - 542
publisher
IOP Publishing
external identifiers
  • wos:000275756300005
  • pmid:20208092
  • scopus:77949803084
ISSN
0967-3334
DOI
10.1088/0967-3334/31/4/005
language
English
LU publication?
yes
id
06ee3a06-f29c-4a67-bc13-0bfd38fa929e (old id 1579151)
date added to LUP
2010-03-24 14:19:20
date last changed
2018-05-29 10:16:25
@article{06ee3a06-f29c-4a67-bc13-0bfd38fa929e,
  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.},
  author       = {Sandberg, Frida and Bollman, Andreas and Husser, Daniela and Stridh, Martin and Sörnmo, Leif},
  issn         = {0967-3334},
  language     = {eng},
  number       = {4},
  pages        = {531--542},
  publisher    = {IOP Publishing},
  series       = {Physiological Measurement},
  title        = {Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation},
  url          = {http://dx.doi.org/10.1088/0967-3334/31/4/005},
  volume       = {31},
  year         = {2010},
}