Poincare mapping for detecting abnormal dynamics of cardiac repolarization

This article concentrates on analysis of subtle ECG signal features associated with characteristic temporal variations in the repolarization phase of cardiac electrical activation (i.e., variations that are embedded within the T-wave). These variations are termed T-wave alternans (TWA) to connote la...

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Bibliographic Details
Published in:IEEE engineering in medicine and biology magazine 2002-01, Vol.21 (1), p.62-65
Main Authors: Strumillo, P., Ruta, J.
Format: Article
Language:English
Subjects:
Arrhythmias, Cardiac - etiology
Arrhythmias, Cardiac - prevention & control
Bifurcation
Body Surface Potential Mapping - methods
Body Surface Potential Mapping - statistics & numerical data
Cardiology
Cluster Analysis
Electrocardiography
Fourier Analysis
Frequency synchronization
Humans
Inspection
Models, Cardiovascular
Models, Statistical
Myocardial Infarction - complications
Myocardial Infarction - diagnosis
Myocardium
Oscillators
Periodicity
Sampling methods
Sampling techniques
Scattering
Statistics as Topic
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Summary:This article concentrates on analysis of subtle ECG signal features associated with characteristic temporal variations in the repolarization phase of cardiac electrical activation (i.e., variations that are embedded within the T-wave). These variations are termed T-wave alternans (TWA) to connote larger similarity between T-wave shapes in every other beat than that in the adjacent beats that occur during regular heart rhythm of an increased rate. In an early work the concept of associating TWA with period-doubling bifurcation of the cardiac oscillator has been put forward and demonstrated on canine ECG traces. In this article we extend this idea and use it for quantification of TWA in human ECGs recorded from postinfarction patients. The purpose of this work is to show that: a statistically significant correlation exists for the analyzed ECGs between the TWA level computed by means of an inter-cycle synchronized sampling technique known as Poincare mapping (PM) and a widely used Fourier spectrum (FS) method, and that the PM method outperforms the widely used FS method for TWA analysis in a number of ways.
ISSN:0739-5175
1937-4186
DOI:10.1109/51.993195