Literature DB >> 15825862

Methodological principles of T wave alternans analysis: a unified framework.

Juan Pablo Martínez1, Salvador Olmos.   

Abstract

Visible T wave alternans (TWA) in the electrocardiogram (ECG) had been regarded as an infrequent phenomenon during the first 80 years of electrocardiography. Nevertheless, computerized analysis changed this perception. In the last two decades, a variety of techniques for automatic TWA analysis have been proposed. These techniques have allowed researchers to detect nonvisible TWA in a wide variety of clinical and experimental conditions. Such studies have recently shown that TWA is related to cardiac instability and increased arrhythmogenicity. Comparison of TWA analysis methods is a difficult task due to the diversity of approaches. In this paper, we propose a unified framework which holds the existing methods. In the light of this framework, the methodological principles of the published TWA analysis schemes are compared and discussed. This framework may have an important role to develop new approaches to this problem.

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Year:  2005        PMID: 15825862     DOI: 10.1109/TBME.2005.844025

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  25 in total

1.  An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms.

Authors:  Gd Clifford; S Nemati; R Sameni
Journal:  Comput Cardiol       Date:  2008

2.  Improved robust T-wave alternans detectors.

Authors:  O Meste; D Janusek; S Karczmarewicz; A Przybylski; M Kania; A Maciag; R Maniewski
Journal:  Med Biol Eng Comput       Date:  2015-02-03       Impact factor: 2.602

3.  Comparison of quantitative T-wave alternans profiles of healthy subjects and ICD patients.

Authors:  Euler de Vilhena Garcia; Nelson Samesima; Horácio G Pereira Filho; Cristina M Quadros; Luis Tenório Cavalcante da Silva; Martino Martinelli Filho; Maria Luciana Zacharias Hannouche; Wilson Mathias; Carlos Alberto Pastore
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-04       Impact factor: 1.468

4.  Enhanced modified moving average analysis of T-wave alternans using a curve matching method: a simulation study.

Authors:  D Cuesta-Frau; Pau Micó-Tormos; M Aboy; Marcelo O Biagetti; D Austin; Ricardo A Quinteiro
Journal:  Med Biol Eng Comput       Date:  2008-10-21       Impact factor: 2.602

Review 5.  T-wave alternans: reviewing the clinical performance, understanding limitations, characterizing methodologies.

Authors:  Euler de Vilhena Garcia
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-10       Impact factor: 1.468

6.  A unified procedure for detecting, quantifying, and validating electrocardiogram T-wave alternans.

Authors:  H Naseri; H Pourkhajeh; M R Homaeinezhad
Journal:  Med Biol Eng Comput       Date:  2013-05-22       Impact factor: 2.602

7.  Microvolt T-wave Alternans: Where Are We Now?

Authors:  Aapo L Aro; Tuomas V Kenttä; Heikki V Huikuri
Journal:  Arrhythm Electrophysiol Rev       Date:  2016-05

8.  The PhysioNet / Computers in Cardiology Challenge 2008: T-Wave Alternans.

Authors:  Gb Moody
Journal:  Comput Cardiol       Date:  2008

9.  Adrenergic stimulation promotes T-wave alternans and arrhythmia inducibility in a TNF-alpha genetic mouse model of congestive heart failure.

Authors:  Vladimir Shusterman; Charles F McTiernan; Anna Goldberg; Samir Saba; Guy Salama; Barry London
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-11-25       Impact factor: 4.733

10.  Detecting space-time alternating biological signals close to the bifurcation point.

Authors:  Zhiheng Jia; Harold Bien; Emilia Entcheva
Journal:  IEEE Trans Biomed Eng       Date:  2009-08-18       Impact factor: 4.538

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