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

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Resumo

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.

Resumo Limpo

enhanc modifi move averag method emmam correl method cm microvolt twa identif compar aid simul ecg trace case absenc twa presenc stationari timevari twa ecg record healthi subject hgroup patient surviv acut myocardi infarct amigroup two compet method found equival analyz clean ecg affect stationari twa nonstationari twa correct track cm wherea identifi stationari emmam moreov emmam suffer tendenc identifi twa nois kind repolar variabl limit like caus falseposit twa product final cm incorpor local threshold criterion twa detect algorithm allow better discrimin h ami group well known increas risk develop twa

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