Electrocardiograms Classification Based on the Levenstein Metric

Abstract

A linguistic approach to ECG classification based on the transition from observation to a code word that characterizes the dynamics of changes in the set of diagnostic indicators is being developed. It is proposed to evaluate the proximity of the ECG by distance according to Levenshtein. The advantages of the proposed approach during the diagnosis of myocardial ischemia are presented