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

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Sandberg, F. Sornmo, L. Rieta, J.J.
Copyright Year	2009
Description	Author affiliation: Innovation in Bioengineering Research Group. University of Castilla-La Mancha, Cuenca, Spain (Alcaraz, R.) \|\| Signal Processing Group, Dept. of Electrical and Information Technology, Lund University, Sweden (Sandberg, F.; Sornmo, L.) \|\| Biomedical Synergy, Electronic Engineering Dept., Universidad Politécnica de Valencia, Spain (Rieta, J.J.)
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 (0.0693±0.0147) were consistently associated with lower SampEn than episodes with persistent AF (0.1056±0.0146). 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 SampEn information, thus making it possible to classify longterm recordings of patients without AF history.
Starting Page	509
Ending Page	512
File Size	203291
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Atrial fibrillation Filtering History Cardiology Biomedical engineering Entropy Electrocardiography Low pass filters IIR filters Cutoff frequency
Content Type	Text
Resource Type	Article

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