Department of Biomedical, Electronics and Telecommunication Engineering, Polytechnic University of Marche, 60131 Ancona, Italy.
Comput Methods Programs Biomed. 2010 Apr;98(1):94-102. doi: 10.1016/j.cmpb.2010.01.008. Epub 2010 Feb 25.
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.
增强型修正移动平均法（EMMAM）和相关法（CM）用于微伏 TWA 识别的比较，通过模拟心电图描记（无 TWA 病例和存在静止或时变 TWA 病例）和来自健康受试者（H 组）和急性心肌梗死（AMI 组）存活患者的心电图记录来实现。当分析受静止 TWA 影响的干净心电图时，发现这两种竞争方法是等效的。CM 可以正确跟踪非静止 TWA，而 EMMAM 将其识别为静止 TWA。此外，EMMAM 倾向于将 TWA 噪声和其他复极变异识别为 TWA，这是其局限性的主要原因，这很可能导致其产生假阳性 TWA。最后，只有 CM 在 TWA 检测算法中包含局部阈值标准，这允许更好地区分 H 组和 AMI 组，众所周知，H 组和 AMI 组发生 TWA 的风险增加。
