Quantitative analysis of circadian variation in atrial fibrillation frequency
(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:
https://lup.lub.lu.se/record/1511400
- author
- Sandberg, Frida LU ; Bollman, Andreas ; Husser, Daniela ; Stridh, Martin LU and Sörnmo, Leif LU
- organization
- publishing date
- 2009
- 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}}, }