McLaughlin S C, Aitchison T C, Macfarlane P W
Dept. of Medical Cardiology, University of Glasgow, Scotland.
Methods Inf Med. 1995 Jun;34(3):272-82.
Statistically-based smoothing techniques are described which have been applied to the existing framework of the Glasgow ECG Analysis program. These methods have been designed with the aim of improving repeatability in the computer interpretation of ECGs which have been recorded either several minutes or 24 hours apart from patients in a clinically stable condition. With respect to the ECG diagnosis of Left Ventricular Hypertrophy (LVH), these flexible methods have the effect to reducing the number of inconsistent day-to-day interpretations by 36% from 33 to 21 in 330 pairs of ECGs recorded one day apart. Similarly, when comparing agreement in the diagnosis of LVH in 249 pairs of ECGs which were recorded several minutes apart, the number of discordant computer interpretations was 6 using the new methodology, compared with 13 using conventional criteria, i.e. there was a 54% reduction in disagreements.
描述了基于统计学的平滑技术，这些技术已应用于格拉斯哥心电图分析程序的现有框架。设计这些方法的目的是提高对临床状况稳定的患者相隔几分钟或24小时记录的心电图进行计算机解读时的可重复性。关于左心室肥厚（LVH）的心电图诊断，这些灵活的方法可将相隔一天记录的330对心电图中日常不一致解读的数量从33例减少36%至21例。同样，在比较相隔几分钟记录的249对心电图中LVH诊断的一致性时，使用新方法的计算机解读不一致数量为6例，而使用传统标准时为13例，即不一致情况减少了54%。
