Elko P, Warner R A
Marquette Electronics, Milwaukee, Wisconsin.
J Electrocardiol. 1994;27 Suppl:10-3. doi: 10.1016/s0022-0736(94)80038-3.
The use of a newly developed method of directly transferring digital data from Marquette electrocardiogram (ECG) systems (Milwaukee, Wisconsin) to personal computers for subsequent storage and analysis is illustrated. This method can eliminate the slowness and inaccuracy associated with measuring relevant ECG parameters from analog tracings and manually entering the data into a computer. In this study, the new method was used to derive ECG criteria for anterior myocardial infarction and to compare their performances to those of the current Marquette 12SL diagnostic program and of a group of cardiologists who had also interpreted the ECGs. Using angiographic data, 82 normal subjects and 55 patients with anterior myocardial infarction were identified. The digital ECG data from the patients in each group were transferred to a personal computer and frequency distributions of these data were generated. From these frequency distributions, the ECG criteria that most reliably separated the two groups were identified. The diagnostic performance of the best of these empirically derived criteria appears clinically superior to the performances of both the 12SL program and the cardiologists who had also interpreted the ECGs.
本文展示了一种新开发的方法，可将数字数据从马奎特心电图（ECG）系统（威斯康星州密尔沃基）直接传输到个人计算机，以便后续存储和分析。该方法可以消除与从模拟描记图测量相关ECG参数并手动将数据输入计算机相关的缓慢和不准确问题。在本研究中，使用新方法得出前壁心肌梗死的ECG标准，并将其性能与当前马奎特12SL诊断程序以及一组也解读过这些ECG的心脏病专家的性能进行比较。利用血管造影数据，确定了82名正常受试者和55名前壁心肌梗死患者。将每组患者的数字ECG数据传输到个人计算机，并生成这些数据的频率分布。从这些频率分布中，确定了最可靠区分两组的ECG标准。这些经验性得出的最佳标准的诊断性能在临床上似乎优于12SL程序和也解读过这些ECG的心脏病专家的性能。
