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Journal Biomedical Radioelectronics №5 for 2025 г.
Article in number:
Research of methods and development of algorithms for filtering ECG signals in MATLAB
Type of article: scientific article
DOI: https://doi.org/10.18127/j15604136-202505-12
UDC: 615.47:616-072.7
Authors:

S.S. Zhussupbekov1, S.G. Khan2

1,2 Almaty University of Power Engineering and Telecommunications n.a. Gumarbek Daukeyev (Almaty, Republic of Kazakhstan)
1 s.zhussupbekov@aues.kz, 2 s.khan@aues.kz

Abstract:

The development of information technologies ensures high quality recording of the electrocardiogram (ECG) signal, which is a necessary condition for the correct interpretation of the ECG. However, in the process of recording the ECG, one has to deal with a large number of various noises and interferences, interference superimposed on the useful ECG signal, caused by the drift of the difference in electrode potentials, polarization voltage, skin condition and treatment, the property of the medium between the skin and the electrode, the electrodes themselves, the quality of consumables, etc. This determines the need to use signal filtration to obtain a high-quality ECG-signal, which significantly improves the quality of electrocardiograms and allows for the correct interpretation of ECG-signals.

The aim of the study is increasing the accuracy and reliability of forming diagnostic conclusions about the state of the human cardiovascular system based on digital filtering of the electrocardiogram, implementing effective suppression of interference and allowing to provide optimal conditions for subsequent stages of signal processing and analysis.

The practical significance of the work lies in the fact that the concept of digital filtering of electrocardiographic signals in the high-level interpreted programming language MATLAB proposed and described in the work made it possible to determine the methods and algorithms for filtering electrocardiographic signals, to isolate the useful signal from interference and distortion, and to determine the errors associated with the conversion of information and signal filtering.

Pages: 58-63
For citation

Zhussupbekov S.S., Khan S.G. Research of methods and development of algorithms for filtering ECG signals in MATLAB. Biomedicine Radioengineering. 2025. V. 28. № 5. P. 58–63. DOI: https:// doi.org/10.18127/j15604136-202505-12 (In Russian)

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Date of receipt: 17.07.2025
Approved after review: 28.07.2025
Accepted for publication: 22.09.2025