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в ² в ò ISSN 2413-4295 (online) 519.6: 612.172.4 doi:10.20998/2413-4295.2018.26.20 MATLAB . ...

ISSN 2079-5459 (print)

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в "² в ò" ISSN 2413-4295 (online)

519.6: 612.172.4 doi:10.20998/2413-4295.2018.26.20

MATLAB

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MATLAB ECG SIGNAL GENERATOR MODEL BASED ON FREQUENCY

TRANSFORMATION

M. SHYSHKIN 1, O. BUTOVA 1, L. FETIUKHINA1, O. AKHIIEZER 2, O. DUNAIEVSKA2 Department of Industrial and Biomedical Electronics Department of Computer Mathematics and Data Analysis National Technical University Kharkiv Polytechnic Institute, Kharkiv, UKRAINE

Abstract

Electrocardiographical analysis remains an important component of the cardiovascular pathologies diagnostics .

There are a number of various methods cardio-signal processing and analysis. It is beneficial to use artificial cardio-signals in addition to traditional ones. It makes it possible to set time and level parameters to simulate a broad spectrum of the normal and pathological cardiovascular conditions. This article provides the review of the existing cardio-signal simulation models. It is demonstrated that is expedient to use dynamic models that allow generation of the artificial cardio-signals with certain features to prove the effectiveness of the cardio-signal processing methods. The imitational electrocardiographical signal generator model that uses Fourier transform spectral component coefficients has been suggested. The described below model has been created using Matlab/Simulink. It was determined that for the most cases it is possible to shape the imitational signal using the first fifty harmonics by utilizing a signal superposition of the mandatory harmonic components. The results of the simulation shown below proved the concept. Matlab model allows to obtain an artificial ECG signal as well as to simulate heart rate pathological conditions, heart rate variability and impact of the most common distortions. Further improvement of the imitational model is possible in the area of extending functionality as a result of changing time and level parameters of certain ECG fragments as well as the most frequently observed pathological conditions .





Keywords: simulation modeling; Matlab; an electrocardiogram; discrete Fourier transform; heart rate variability .

   

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Mykhailo Shyshkin Candidate of Technical Sciences (Ph. D), Associate Professor, National Technical University Kharkiv

Polytechnic Institute, Associate Professor of Department of Industrial and Biomedical Electronics, Kharkiv, Ukraine; e-mail:

m.shishkin1966@gmail.com .

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cherie_2812@gmail.com .

Olha Butova Candidate of Technical Sciences (Ph. D), Associate Professor, National Technical University Kharkiv

Polytechnic Institute, Associate Professor of Department of Industrial and Biomedical Electronics, Kharkiv, Ukraine; e-mail:

cherie_2812@gmail.com .

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Liudmyla Fetiukhina Candidate of Technical Sciences (Ph. D), Associate Professor, National Technical University Kharkiv

Polytechnic Institute, Associate Professor of Department of Industrial and Biomedical Electronics, Kharkiv, Ukraine; e-mail:

lulu2000@ukr.net .

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Olena Akhiiezer Candidate of Technical Sciences (Ph. D), Associate Professor, National Technical University Kharkiv

Polytechnic Institute, Professor of Department of Industrial and Biomedical Electronics, Kharkiv, Ukraine; e-mail:

akhiiezer.cmds@gmail.com .

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dunaevskaya.olga.khpi@gmail.com .

Olha Dunaievska Candidate of Technical Sciences (Ph. D), Associate Professor, National Technical University Kharkiv

Polytechnic Institute, Associate Professor of Department of Industrial and Biomedical Electronics, Kharkiv, Ukraine; e-mail:

dunaevskaya.olga.khpi@gmail.com .

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. , . . , . . , . . // Ȼ, : . : ӫȻ. 2018. 26 (1302). . 1. . 140-147. doi:10.20998/2413-4295.2018.26.20 .

Please cite this article as:

Shyshkin, M., Butova, O., Fetiukhina, L., Akhiiezer, O., Dunaievska, O. Matlab ECG signal model based on frequency transformation. Bulletin of NTU "KhPI". Series: New solutions in modern technologies. Kharkiv: NTU "KhPI", 2018, 26 (1302), 1, 140-147, doi:10.20998/2413-4295.2018.26.20 .

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: ϲ. 2018. 26 (1302). . 1. . 140-147. doi:10.20998/2413-4295.2018.26.20 .

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