Literature DB >> 11796662

Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy.

Bruce D Nearing1, Richard L Verrier.   

Abstract

T-wave alternans is a marker of cardiac electrical instability with the potential for arrhythmia risk stratification. The modified moving average method was developed to measure alternans in settings with artifacts, noise, and nonstationary data. Algorithms were developed and performance characteristics were validated with simulated electrocardiograms (ECGs). Experimental laboratory ECGs with dynamically changing alternans values were analyzed. Alternans values estimated by modified moving average analysis correlated strongly with input alternans values (r(2) = 0.9999). Rapidly changing alternans levels and phase reversals did not perturb the measurement. When heart rate was increased from 60 to 180 beats/min, with T-wave alternans apex moving from 237 to 103 ms after the R wave, the measured alternans peak varied <5% from input value. Simulated 50- to 1,000-microV motion artifact spikes typical of treadmill ECGs produced inaccuracies <2%. Alternans values in experimental laboratory study using standard electrodes tracked vulnerability to myocardial ischemia-induced ventricular fibrillation with 100% sensitivity and specificity at a cut point of 0.75 mV. Modified moving average analysis is a robust method that precisely measures T-wave alternans in settings with artifacts, noise, and nonstationary data typical of clinical ECGs and yields an accurate estimate of risk for ventricular fibrillation.

Entities:  

Mesh:

Year:  2002        PMID: 11796662     DOI: 10.1152/japplphysiol.00592.2001

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  61 in total

1.  Is T-wave alternans testing feasible in candidates for prophylactic implantable defibrillators?

Authors:  K Kraaier; T McCracken; J van der Palen; A A M Wilde; M F Scholten
Journal:  Neth Heart J       Date:  2011-01       Impact factor: 2.380

2.  Comparison of standard versus orthogonal ECG leads for T-wave alternans identification.

Authors:  Laura Burattini; Sumche Man; Roberto Burattini; Cees A Swenne
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-04       Impact factor: 1.468

3.  Novel algorithm for identifying T-wave current density alternans using synthesized 187-channel vector-projected body surface mapping.

Authors:  Kenji Nakai; Shin Takahashi; Atsushi Suzuki; Nobuhisa Hagiwara; Keisuke Futagawa; Morio Shoda; Tsuyoshi Shiga; Ken Takahashi; Hitoshi Okabayashi; Manabu Itoh; Hiroshi Kasanuki
Journal:  Heart Vessels       Date:  2010-10-30       Impact factor: 2.037

Review 4.  Usefulness of T-wave alternans in sudden death risk stratification and guiding medical therapy.

Authors:  Tuomo Nieminen; Richard L Verrier
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-07       Impact factor: 1.468

5.  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

6.  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

7.  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 8.  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

Review 9.  Surface Electrocardiogram Predictors of Sudden Cardiac Arrest.

Authors:  Samy A Abdelghani; Todd M Rosenthal; Daniel P Morin
Journal:  Ochsner J       Date:  2016

10.  Role of risk stratification after myocardial infarction.

Authors:  Vikas Kuriachan; Derek V Exner
Journal:  Curr Treat Options Cardiovasc Med       Date:  2009-02
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