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Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis

Goya-Esteban, Rebeca; Sandberg, Frida LU ; Barquero-Perez, Oscar; Garcia-Alberola, Arcadio; Sörnmo, Leif LU and Luis Rojo-Alvarez, Jose (2014) In Medical & Biological Engineering & Computing 52(12). p.1053-1060
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Atrial fibrillation, F-wave morphology, Principal component analysis, Sample entropy, Circadian rhythm, Infradian rhythm, 7-day Holter
in
Medical & Biological Engineering & Computing
volume
52
issue
12
pages
1053 - 1060
publisher
Springer
external identifiers
  • wos:000345029300006
  • scopus:84925522032
ISSN
0140-0118
DOI
10.1007/s11517-014-1199-x
language
English
LU publication?
yes
id
2379ea3b-63b0-42b9-ac68-b76bad0e019d (old id 4982937)
date added to LUP
2015-02-03 07:12:29
date last changed
2017-07-30 04:05:08
@article{2379ea3b-63b0-42b9-ac68-b76bad0e019d,
  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.},
  author       = {Goya-Esteban, Rebeca and Sandberg, Frida and Barquero-Perez, Oscar and Garcia-Alberola, Arcadio and Sörnmo, Leif and Luis Rojo-Alvarez, Jose},
  issn         = {0140-0118},
  keyword      = {Atrial fibrillation,F-wave morphology,Principal component analysis,Sample entropy,Circadian rhythm,Infradian rhythm,7-day Holter},
  language     = {eng},
  number       = {12},
  pages        = {1053--1060},
  publisher    = {Springer},
  series       = {Medical & Biological Engineering & Computing},
  title        = {Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis},
  url          = {http://dx.doi.org/10.1007/s11517-014-1199-x},
  volume       = {52},
  year         = {2014},
}