NDLI: Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Hornero, F. Rieta, J.J.
Copyright Year	2011
Description	Author affiliation: Innovation in Bioengeeniering Research Group, University of Castilla-La Mancha, Campus Universitario, 16071, Cuenca, Spain (Alcaraz, R.) \|\| Biomedical Synergy, Electronic Engineering Department, Universidad Polite´cnica de Valencia, Spain (Rieta, J.J.) \|\| Cardiac Surgery Department, General University Hospital Consortium of Valencia, Spain (Hornero, F.)
Abstract	Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice. Although its mechanisms are incompletely understood, electrophysiological and structural remodeling of the atria seem to play an important role in the arrhythmia transition from paroxysmal to persistent. However, the time course of the atrial remodeling along onward episodes of non-induced paroxysmal AF has not been investigated yet. In this work, a non-invasive method, based on the regularity estimation of AF through sample entropy (SampEn), has been used to assess the organization evolution along onward episodes of paroxysmal AF. Given that AF organization has been associated to the number of existing wavelets wandering throughout the atrial tissue, SampEn could be considered as a concomitant estimator of atrial remodeling. The achieved results, in close agreement with previous findings obtained from invasive recordings, showed a progressive disorganization increase along onward episodes of AF for 63% of the analyzed patients and a stable AF organization degree in the remaining 37%. Additionally, a positive correlation between episode duration and SampEn was also noticed (R = 0.541, p < 0.01). As a consequence, it could be considered that atrial electrophysiological dynamics that occur along onward paroxysmal AF episodes are reflected and can be quantified from ECG recordings through non-invasive organization estimation.
Starting Page	1467
Ending Page	1470
File Size	393169
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Organizations Standards organizations Entropy Humans Electrocardiography Correlation Atrial fibrillation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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