One of the effective ways to prevent death from heart attack from the World Health Organization is timely diagnosis based on digital processing algorithms of modern electrocardiographic (ECG) signals. Today, a number of methods for automatic detection of electrocardiographic signals have been developed to improve the efficiency of diagnosing cardiovascular diseases. Using computer technologies and mathematical models, creating various medical systems that perform functions ranging from recording, recognizing and calculating the main parameters of various medical events in the recorded signal, and making conclusions, to attempts to implement advisory subsystems in them, as well as diagnoses about the state of health leads to the development of conclusions. In the study, the process of recording ECG signals, separation in numerical solution and implementation on the basis of a time-undisclosed scheme, algorithmic and software development are discussed. The process of obtaining information is carried out by selecting the “informative” features indicated by certain criteria and presenting them as a classification curve to classify the selected sections. The study considers the process of recording ECG signals, separation in numerical solution and implementation in time based on an undisclosed scheme, algorithmic and software development. The process of obtaining information through the selection of “informative” properties specified by certain criteria and the description of presenting them as a classification curve, the grading of selected sections has been carried out.