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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Correlation method versus enhanced modified moving average method for automatic detection of T-wave alternans.
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Correlation method versus enhanced modified moving average method for automatic detection of T-wave alternans.

机译：用于自动检测T波交替信号的相关方法与增强型修正移动平均方法的比较。

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摘要

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.
机译：通过模拟的ECG示踪（不存在TWA且存在固定或随时间变化的TWA的情况）和健康受试者的ECG记录（H），比较了用于微伏TWA识别的增强型修正移动平均法（EMMAM）和相关法（CM） -组）和在急性心肌梗死中幸存的患者（AMI组）。在分析受固定TWA影响的干净ECG时，发现这两种竞争方法是等效的。 CM正确地跟踪了非固定的TWA，而EMMAM将其标识为固定的。此外，EMMAM倾向于将其识别为TWA噪声和其他种类的复极化变异性。这种限制很可能是其假阳性TWA产生的原因。最后，只有CM在TWA检测算法中纳入了局部阈值标准，从而可以更好地区分H和AMI组，众所周知，H和AMI组患TWA的风险增加。

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