Humen Identification Based on Electrocardiogram Using Growing Pyramidal Network

Abstract

The paper deals with the solution of the problem of identifying a human by its electrocardiogram, using a classifier based on the use of growing pyramidal networks. In the presence of the corresponding features of the electrocardiogram (ECG) - the coordinates of the points of the canonical spline, which approximates the three-dimensional curve of the QRS complex, an ECG classification can be performed. The results of conducted experiments are presented.