Automation and information-measuring equipment

THE USE OF CARDIOGRAMS AND THEIR CHARACTERISTICS FOR HUMAN IDENTIFICATION

Authors

V. V. Vyshnevskyi
Institute of Mathematical Machines and Systems Problems ROR
T. M. Romanenko
Institute of Mathematical Machines and Systems Problems ROR
L. A. Kizub
Institute of Mathematical Machines and Systems Problems ROR

Keywords

electrocardiogram (ECG) characteristic features of ECG identification QRS complex approximation

Abstract

The paper deals with the task of human identification by electrocardiogram. By using three orthogonal leads, electrocardiogram can be represented as a three-dimensional hodograph. A segment of hodograph, which is related to QRS complex, was approximated via canonical parametric splines. It gave us a set of points which describe the curve shape. An electrocardiogram is assigned to the certain class by comparison of the coordinates of the points which describe the shape of approximating spline. For classification the known statistical methods and neural network were applied.

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How to Cite

[1]
“THE USE OF CARDIOGRAMS AND THEIR CHARACTERISTICS FOR HUMAN IDENTIFICATION”, Вісник ВПІ, no. 5, pp. 7–10, Dec. 2016, Accessed: Oct. 03, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1961

Author Biographies

V. V. Vyshnevskyi, Institute of Mathematical Machines and Systems Problems
Cand. Sc. (Eng.), Leading Researcher
T. M. Romanenko, Institute of Mathematical Machines and Systems Problems
Researcher
L. A. Kizub, Institute of Mathematical Machines and Systems Problems
Research Fellow