Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes
Alcaraz, Raul; Sandberg, Frida; Sörnmo, Leif; Rieta, JJ (2009). Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes [Host publication title missing], 36,, 509 - 512. 36th Annual Computers in Cardiology Conference, 2009. Park City, UT, United States: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
|
Published
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English
Authors:
Alcaraz, Raul
;
Sandberg, Frida
;
Sörnmo, Leif
;
Rieta, JJ
Department:
Department of Electrical and Information Technology
Signal Processing-lup-obsolete
Research Group:
Signal Processing-lup-obsolete
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 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.
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