STUDYING EFECT OF TPA PAREMETERS TO ECG SIGNALS AT STANDARD LEADS

Authors

  • Illia Olehovych Syropiatov Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, SI “Institute of Nuclear Medicine and Diagnostic Radiology of NAMS of Ukraine”
  • Mykola Mykolaiovych Budnyk Taras Shevchenko National University of Kyiv, Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine
  • Illia Anatoliiovych Chaikovskyi Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine

DOI:

https://doi.org/10.31649/1999-9941-2020-48-2-12-17

Keywords:

electrocardiography, modeling, ECGSim

Abstract

For many years, coronary heart disease has remained the leading cause of death in the world. Electrocardiography is a common and cost-effective method for assessing the state of the cardiovascular system, but, unfortunately, routine electrocardiography does not have sufficient sensitivity and specificity to solve modern problems. Therefore, there is a question of developing models and methods for evaluating the ECG signal, which would increase the effectiveness of electrocardiographic studies for early detection of pathological changes. Using the interactive ECGSim program, changes in the node on the anterior surface of the heart were modeled by changing the main characteristics of the transmembrane action potential by ±5 and ±10 percent: the resting potential, amplitude, time of depolarization and repolarization, and the slope of the curve in the "plateau" and repolarization phases. Two indicators are proposed to evaluate the differences between the obtained curves and the ECG curves of the conditional norm: one of them indicates the trend of changes, and the second one uses absolute values and more clearly demonstrates the degree of severity of changes. The results obtained correspond to electrophysiological indicators, which indicates the validity of the proposed indicators for measuring the distances between the adapted and reference ECG curves.

Author Biographies

Illia Olehovych Syropiatov, Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, SI “Institute of Nuclear Medicine and Diagnostic Radiology of NAMS of Ukraine”

electronic engineer

Mykola Mykolaiovych Budnyk, Taras Shevchenko National University of Kyiv, Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine

DrSc in Computer Science, Senior Researcher, Professor

Illia Anatoliiovych Chaikovskyi, Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine

PhD in Medical Science, Senior Researcher, Leading Researcher

References

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Published

2020-09-30

How to Cite

[1]
I. O. Syropiatov, M. M. Budnyk, and I. A. Chaikovskyi, “STUDYING EFECT OF TPA PAREMETERS TO ECG SIGNALS AT STANDARD LEADS”, ІТКІ, vol. 48, no. 2, pp. 12–17, Sep. 2020.

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Biological and medical devices and systems

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