Modeling ecg using polygonal function method

Abstract

Spectral analysis usually remains one of the most common analytical approaches to determine diagnostically significant characteristics of electrical activity signals of organs and systems of the body [1, 2]. Regarding the cardiovascular system, the electrocardiogram (ECG) is an integral indicator of the system state and is widely used in diagnostics and research. The paper shows the results of using a polygonal function (PF) as an ECG signal model, which allows simplifying the calculation of the signal spectrum and further revealing the possibilities of correlation analysis.