NDLI: Non-linear Regularity Analysis of Cardiac Atrial Signals

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Rieta, J.J.
Copyright Year	2007
Description	Author affiliation: Univ. of Castilla-La Mancha, Cuenca (Alcaraz, R.)
Abstract	Atrial fibrillation (AF) is a common supraventricular arrhythmia with episodes that, in the first stages of the disease, may terminate spontaneously. This fact is referred as paroxysmal atrial fibrillation. The analysis of its termination or maintenance could avoid unnecessary therapy and contribute to take the appropriate decisions on its management. The aim of this work is to study if an AF episode terminates spontaneously or not by analyzing the increase of atrial activity (AA) organization prior to AF termination. The organization varies as a consequence of the decrease in the number of reentries into the atrial tissue. The analysis was carried out noninvasively through the use of surface electrocardiogram (ECG) recordings. Sample entropy was selected as non-linear organization index. It was observed that noise and ventricular residues degrade AA organization estimation performance, therefore the use of selective filtering to get the main atrial wave (MAW) was necessary. Using the MAW organization analysis, that is the signal produced by the main reentry wandering the atrial tissue, 46 out of 50 of the terminating and non-terminating analyzed AF episodes were correctly classified (92%). The obtained outcomes allow to conclude that the dominant atrial frequency, and therefore, the main atrial reentry, contains the most relevant information about spontaneous AF termination.
Starting Page	1
Ending Page	6
File Size	2914429
Page Count	6
File Format	PDF
ISBN	9781424408290
DOI	10.1109/WISP.2007.4447599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sample Entropy Filtering Atrial fibrillation Cardiac disease Medical treatment Non-linear regularity analysis Entropy Degradation Electrocardiography Frequency Cardiovascular diseases Electrocardiogram (ECG) Signal analysis Paroxysmal Atrial Fibrillation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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