Algorithms for the Automatic 12-Lead ECG Analysis

Abstract

　The automatic analysis function in electrocardiographs can standardize diagnostic criteria by providing an objective double check in addition to the subjective diagnosis by physicians, and can provide reproducible results that are not affected by individual differences in physician interpretation. It is widely used in group medical examinations since it can easily obtain measurements such as the QRS electrical axis which require complicated calculations, and can analyze a large number of ECGs in a short amount of time.

However, the results of automated analysis are not perfect and misinterpretations may occur. If valid analysis results cannot be obtained, the results may be improved by reviewing the operating environment of the ECG device. In particular, reviewing the filter settings and applying other noise countermeasures have proven effective. Since automatic analysis is performed according to a predetermined process (algorithm), understanding the principles behind automatic analysis allows a deeper understanding of its results, which is considered to be effectively useful in daily clinical practice.

　Using the automatic analysis of Fukuda Denshi's 12-lead ECG as an example, we will explain measurement processing, the Minnesota Code, and algorithms for finding classification.