Literature DB >> 20188430

Correlation method versus enhanced modified moving average method for automatic detection of T-wave alternans.

Laura Burattini1, Silvia Bini, Roberto Burattini.   

Abstract

Enhanced modified moving average method (EMMAM) and correlation method (CM) for microvolt TWA identification are compared by aid of simulated ECG tracings (cases of absence of TWA and presence of stationary or time-varying TWA) and ECG recordings from healthy subjects (H-group) and patients who survived an acute myocardial infarction (AMI-group). The two competing methods were found to be equivalent when analyzing clean ECGs affected by stationary TWA. Non-stationary TWA is correctly tracked by the CM, whereas it is identified as stationary by the EMMAM. Moreover, the EMMAM suffers for its tendency to identify as TWA noise and other kinds of repolarization variability. Such limitation is most likely the cause of its false-positive TWA production. Finally, only the CM incorporates a local threshold criterion in the TWA detection algorithm which allows better discrimination between H and AMI groups, who are well known to be at increased risk to develop TWA. 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20188430     DOI: 10.1016/j.cmpb.2010.01.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  T-Wave Alternans in Nonpathological Preterm Infants.

Authors:  Ilaria Marcantoni; Agnese Sbrollini; Gloria Agostinelli; Francesca Chiara Surace; Massimo Colaneri; Micaela Morettini; Marco Pozzi; Laura Burattini
Journal:  Ann Noninvasive Electrocardiol       Date:  2020-01-27       Impact factor: 1.468

2.  A time-domain hybrid analysis method for detecting and quantifying T-wave alternans.

Authors:  Xiangkui Wan; Kanghui Yan; Linlin Zhang; Yanjun Zeng
Journal:  Comput Math Methods Med       Date:  2014-04-03       Impact factor: 2.238

  2 in total

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