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

Autor: Andrey Yu. Bodin, Mikhail N. Kramm, Leonid Yu. Krivonogov, Natalya A. Serzhantova, Truong Thi Lan Nhi
Jazyk: English<br />Russian
Rok vydání: 2024
Předmět:
Zdroj: Измерение, мониторинг, управление, контроль, Iss 4 (2024)
Druh dokumentu: article
ISSN: 2307-5538
DOI: 10.21685/2307-5538-2023-4-8
Popis: 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.
Databáze: Directory of Open Access Journals