CLASSIFICATION OF ELECTROCARDIOGRAPHIC INTERFERENCE AND REVIEW OF METHODS FOR NOISE-INSTANT PROCESSING
OF ELECTROCARDIOGRAPHIC SIGNAL 

Andrey Yu. Bodin, Postgraduate student, National Research University "MPEI" (14 Krasnokazarmennaya street, Moscow, Russia), Bodin98@mail.ru
Mikhail N. Kramm, Doctor of technical sciences, associate professor, professor of the sub-department of radio engineering fundamentals, National Research University "MPEI"  (14 Krasnokazarmennaya street, Moscow, Russia), KrammMN@mail.ru
Leonid Yu. Krivonogov, Doctor of technical sciences, associate professor, professor of the sub-department of medical cybernetics and informatics, Penza State University, Penza, Russia (40 Krasnaya street, Penza, Russia), leonidkrivonogov@yandex.ru
Natalya A. Serzhantova, Candidate of technical sciences, associate professor, associate professor of the sub-department of biomedical engineering, Penza State Technological University (1a/11 Baidukova passage/Gagarina street, Penza, Russia), itmmbspgta@yandex.ru
Truong Thi Lan Nhi, Assistant of the sub-department of radio engineering fundamentals, National Research University "MPEI" (14 Krasnokazarmennaya street, Moscow, Russia), truongthilannhi@gmail.com

Background. The article is devoted to the classification of electrocardiographic interference and the development of termination of electrocardiographic signal segmentation. Increasing noise immunity when processing ECS allows you to increase the accuracy of automatic conclusions and, in the traditional sense, ensure the quality of diagnosis and treatment of cardiovascular diseases. Materials and methods. In this work, a classification of electrocardiographic interference was carried out and a method for segmenting the electrocardiographic signal was developed, which makes it possible to increase the capabilities of these methods of noise-resistant processing of the electrocardiographic signal. Results and conclusions. The presented classification and the developed method for segmenting the electrocardiosignal make it possible to increase the capabilities of existing methods of noise-resistant processing of ECS; evaluate the possibility of developing new mathematical tools in the proposed solutions.

interference, electrocardiographic signal, classification of electrocardiographic interference, segmentation of electrocardiographic signal

Bodin A.Yu., Kramm M.N., Krivonogov L.Yu., Serzhantova N.A., Truong Thi Lan Nhi. Classification of electrocardiographic interference and review of methods for noise-instant processing of electrocardiographic signal. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2023;(4):64–71. (In Russ.).
doi: 10.21685/2307-5538-2023-4-8