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Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes

Alcaraz, Raul; Sandberg, Frida LU ; Sörnmo, Leif LU and Rieta, JJ (2009) 36th Annual Computers in Cardiology Conference, 2009 In [Host publication title missing] 36. p.509-512
Abstract
In this work, a method for non-invasive assessment of

AF organization has been applied to discriminating between

paroxysmal and long-term persistent AF episodes.

Following extraction of the atrial activity (AA) signal,

the dominant atrial frequency (DAF) of the AA was computed

based on a hidden Markov model. Finally, the main

atrial wave (MAW) was obtained by bandpass filtering

centered on the DAF, thus providing a time series suitable

for AF organization estimation with sample entropy

(SampEn). The performance of the method was evaluated

on 24-h Holter recordings with long-term changes

in AF organization. The results showed that episodes... (More)
In this work, a method for non-invasive assessment of

AF organization has been applied to discriminating between

paroxysmal and long-term persistent AF episodes.

Following extraction of the atrial activity (AA) signal,

the dominant atrial frequency (DAF) of the AA was computed

based on a hidden Markov model. Finally, the main

atrial wave (MAW) was obtained by bandpass filtering

centered on the DAF, thus providing a time series suitable

for AF organization estimation with sample entropy

(SampEn). The performance of the method was evaluated

on 24-h Holter recordings with long-term changes

in AF organization. The results showed that episodes of

paroxysmal AF (0.06930.0147) were consistently associated

with lower SampEn than episodes with persistent

AF (0.10560.0146). Moreover, 94.2% of 1-min segments

with paroxysmal AF and 88.6% of 1-min segments with

persistent AF could be correctly classified based on Samp-

En information, thus making it possible to classify longterm

recordings of patients without AF history. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
36
pages
509 - 512
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
36th Annual Computers in Cardiology Conference, 2009
external identifiers
  • Scopus:77952772601
language
English
LU publication?
yes
id
8213bdca-b571-4da4-96fd-25a9cdbf703d (old id 1511403)
alternative location
http://www.cinc.org/archives/2009/pdf/0509.pdf
date added to LUP
2009-12-01 10:19:35
date last changed
2016-10-13 04:48:53
@misc{8213bdca-b571-4da4-96fd-25a9cdbf703d,
  abstract     = {In this work, a method for non-invasive assessment of<br/><br>
AF organization has been applied to discriminating between<br/><br>
paroxysmal and long-term persistent AF episodes.<br/><br>
Following extraction of the atrial activity (AA) signal,<br/><br>
the dominant atrial frequency (DAF) of the AA was computed<br/><br>
based on a hidden Markov model. Finally, the main<br/><br>
atrial wave (MAW) was obtained by bandpass filtering<br/><br>
centered on the DAF, thus providing a time series suitable<br/><br>
for AF organization estimation with sample entropy<br/><br>
(SampEn). The performance of the method was evaluated<br/><br>
on 24-h Holter recordings with long-term changes<br/><br>
in AF organization. The results showed that episodes of<br/><br>
paroxysmal AF (0.06930.0147) were consistently associated<br/><br>
with lower SampEn than episodes with persistent<br/><br>
AF (0.10560.0146). Moreover, 94.2% of 1-min segments<br/><br>
with paroxysmal AF and 88.6% of 1-min segments with<br/><br>
persistent AF could be correctly classified based on Samp-<br/><br>
En information, thus making it possible to classify longterm<br/><br>
recordings of patients without AF history.},
  author       = {Alcaraz, Raul and Sandberg, Frida and Sörnmo, Leif and Rieta, JJ},
  language     = {eng},
  pages        = {509--512},
  publisher    = {ARRAY(0x539d5f8)},
  series       = {[Host publication title missing]},
  title        = {Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes},
  volume       = {36},
  year         = {2009},
}