Digital Modelling of Low-Frequency ECG Signals Denoising


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Abstract

The problem of low-frequency noise (baseline wander) in long-duration digital electrocardiogram (ECG) signals, which can distort critical diagnostic features such as the ST-segment and T-wave morphology, is considered. Digital filtering methods are studied with an emphasis on low-frequency noise extraction and correction using Chebyshev type II and Butterworth filters synthesized in Python. The results show that a 7th-order high-pass filter with a cutoff frequency of 1 Hz effectively isolates the zero-potential line, whereas the filtfilt function is essential to avoid phase distortions. The success of the filtering method depends on the rate of change of the zero-potential line, and further work is required to develop quantitative criteria for evaluating and correcting filter-induced distortions. The proposed approach aims to improve automated ECG analysis and reduce false alarms in cardiac-monitoring systems.

About the authors

Sinan V. Kurbanov

RUDN University

Author for correspondence.
Email: ya.sinan@yandex.ru
ORCID iD: 0009-0005-6632-9102
SPIN-code: 1127-5326

Postgraduate student of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Denis A. Andrikov

RUDN University

Email: andrikovdenis@mail.ru
ORCID iD: 0000-0003-0359-0897
SPIN-code: 8247-7310

Ph.D. (Technical Sciences), Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Svetlana V. Agasieva

RUDN University

Email: agasieva-sv@rudn.ru
ORCID iD: 0000-0002-9089-1411
SPIN-code: 9696-6864

Ph.D. (Technical Sciences), Associate Professor of the Department of Nanotechnology and Microsystem Engineering, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Artem V. Iaroshenko

RUDN University

Email: 1142240338@pfur.ru
ORCID iD: 0009-0009-8379-622X

Postgraduate student of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

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