NDLI: Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Sandberg, F. Sornmo, L. Rieta, J.J.
Copyright Year	2010
Description	Author affiliation: Innovation in Bioengeeniering Research Group, University of Castilla-La Mancha, Campus Universitario, 16071, Cuenca, Spain (Alcaraz, R.) \|\| Signal Processing Group, Dept. of Electrical and Information Technology, Lund University, Sweden (Sandberg, F.; Sornmo, L.) \|\| Biomedical Synergy, Electronic Engineering Department, Universidad Politécnica de Valencia, Spain (Rieta, J.J.)
Abstract	Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. At an early stage of the disease, AF may terminate spontaneously and is then referred to as paroxysmal AF. On the other hand, when external intervention is required for the arrhythmia to terminate, it is referred to as persistent AF. In this work, a method to discriminate between paroxysmal and persistent AF in the long-term ECGs is presented. The dominant frequency as well as the organization of the atrial activity are employed to characterize AF. The dominant atrial frequency (DAF) is estimated using hidden Markov model based frequency tracking, and organization is estimated by the sample entropy of the main atrial wave (MAW) and the first two harmonics, respectively. Long-term variations in DAF and organization from 50 ECG recordings were evaluated, showing that episodes of paroxysmal AF were consistently associated with lower DAF and organization of the MAW and the harmonics, than was persistent AF. Discrimination of paroxysmal and persistent AF resulted in classification rates of 84.1±26.1%, thus suggesting that it possible to discriminate between paroxysmal and persistent AF in patients without previously known AF history.
Starting Page	4558
Ending Page	4561
File Size	288484
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626528
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Organizations Harmonic analysis Electrocardiography Cardiology Correlation Rhythm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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