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

Authors :
Burattini, Laura
Bini, Silvia
Burattini, Roberto
Source :
Computer Methods & Programs in Biomedicine. Apr2010, Vol. 98 Issue 1, p94-102. 9p.
Publication Year :
2010

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01692607
Volume :
98
Issue :
1
Database :
Academic Search Index
Journal :
Computer Methods & Programs in Biomedicine
Publication Type :
Academic Journal
Accession number :
48602090
Full Text :
https://doi.org/10.1016/j.cmpb.2010.01.008