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Quantitative analysis of circadian variation in atrial fibrillation frequency

Sandberg, Frida LU ; Bollman, Andreas ; Husser, Daniela ; Stridh, Martin LU and Sörnmo, Leif LU (2009) 36th Annual Computers in Cardiology Conference, 2009 36. p.129-132
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 shortterm

variations in AF frequency exceeds the variation that

may be attributed to circadian. Using the autocorrelation

method, circadian variation was detected in 13 of 18

ambulatory ECG recordings (Holter) acquired from patients

with long standing... (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 shortterm

variations in AF frequency exceeds the variation that

may be attributed to circadian. Using the autocorrelation

method, circadian variation was detected 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 but the short-term variation in AF frequency

is considerable. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
[Host publication title missing]
volume
36
pages
129 - 132
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
36th Annual Computers in Cardiology Conference, 2009
conference location
Park City, UT, United States
conference dates
2009-09-13 - 2009-09-16
external identifiers
  • wos:000279344300033
  • scopus:77952693833
language
English
LU publication?
yes
id
f4cd95fa-a175-4a0a-ac19-cbd0f8968076 (old id 1511400)
alternative location
http://www.cinc.org/archives/2009/pdf/0129.pdf
date added to LUP
2016-04-04 11:15:39
date last changed
2022-01-29 21:36:24
@inproceedings{f4cd95fa-a175-4a0a-ac19-cbd0f8968076,
  abstract     = {{Circadian variation in atrial fibrillation (AF) frequency<br/><br>
is explored in this paper by employing recent advances in<br/><br>
signal processing. Once the AF frequency has been estimated<br/><br>
and tracked by a hidden Markov model approach,<br/><br>
the resulting trend is analyzed for the purpose of detecting<br/><br>
and characterizing the presence of circadian variation.<br/><br>
With cosinor analysis, the results show that the shortterm<br/><br>
variations in AF frequency exceeds the variation that<br/><br>
may be attributed to circadian. Using the autocorrelation<br/><br>
method, circadian variation was detected in 13 of 18<br/><br>
ambulatory ECG recordings (Holter) acquired from patients<br/><br>
with long standing persistent AF. Using the ensemble<br/><br>
correlation method, the highest AF frequency usually occurred<br/><br>
during the afternoon, whereas the lowest usually<br/><br>
occurred during late night. It is concluded that circadian<br/><br>
variation is present in most patients with long standing<br/><br>
persistent AF but the short-term variation in AF frequency<br/><br>
is considerable.}},
  author       = {{Sandberg, Frida and Bollman, Andreas and Husser, Daniela and Stridh, Martin and Sörnmo, Leif}},
  booktitle    = {{[Host publication title missing]}},
  language     = {{eng}},
  pages        = {{129--132}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Quantitative analysis of circadian variation in atrial fibrillation frequency}},
  url          = {{http://www.cinc.org/archives/2009/pdf/0129.pdf}},
  volume       = {{36}},
  year         = {{2009}},
}