METHOD AND SYSTEM FOR AUTOMATIC ECG ANALYSIS Russian patent published in 2022 - IPC G06N3/08 A61B5/346 

FIELD: medical equipment.

SUBSTANCE: invention relates to the field of automatic analysis of an electrocardiogram using machine learning algorithms. In the claimed method, a computing system is provided, containing three machine learning models, while the method performs stages, at which: a patient’s ECG signal is received; the received signal is pre-processed; signal processing is carried out using the first machine learning model, wherein during the specified processing, time coordinates of QRS signal complexes are allocated; using the second machine learning model, based on a classification convolutional neural network (CNN), the following is performed: signal segments of a predetermined size centered on the position of QRS complex is processed based on time coordinates allocated by the first ML model; an averaged heartbeat vector of QRS complex is formed; patient’s heartbeat data is classified using the third ML model by processing the mentioned time coordinates of QRS signal complexes obtained by the first ML model and the averaged heartbeat vector of QRS complex formed by the second ML model.

EFFECT: increase in the accuracy of ECG analysis.

6 cl, 4 dwg, 3 tbl