AN APPROACH TO THE USE OF PHYSIONET OPEN SOURCE BIOSIGNALS FOR CALCULATING THE HEART RATE VARIABILITY OF ECG (TIME ANALYSIS) IN THE TRAINING OF MEDICAL STUDENTS

Authors

  • D. V. Vakulenko SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • S. N. Vadzyuk SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • A. V. Semenets SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • O. M. Kuchvara SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • N. O. Kravets SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • N. Ya. Klymuk SHEI "I. Ya. Gorbachevsky Ternopil state medical university of MH of Ukraine"
  • V. V. Lesiv I. Pul'uj Ternopil National Technical University

DOI:

https://doi.org/10.11603/mie.1996-1960.2017.3.8152

Keywords:

time analysis, PhysioNet, heart rate variability, biosignals, ECG.

Abstract

The methodology of teaching students at the I. Ya. Gorbachevsky Ternopil state medical university (the subject is medical informatics, the topic is «Biosignals») is described. It is proposed to use PhysioNet's open resource for analyzing heart rate variability on ECG records (time analysis) using the Microsoft Excel VBA user features.

References

Kovalenko, V. M. Dorogoi, A. P. (2003). Khvorobi sistemi

krovoobigu v Ukraini: problemi i rezervi zberezhennya zdorov'ya naselennya [Diseases of the circulatory system in Ukraine: problems and reserves of public health maintaining]. Sertse i sudini (Heart and Vessels), 2, 4-10.

Vakulenko, D. V. (2015). Informatsiina sistema morfologichnogo, chasovogo, chastotnogo ta korelyatsiinogo analizu arterial'nikh ostsilogram u fizichnii reabilitatsii [Information system of morphological, temporal, frequency and correlation analysis of arterial oscillograms in physical rehabilitation]: monography. Ternopil': TSMU.

Lupenko, S. A., Litvinenko, Ya. V., Sverstyuk, A. S. (2008). Statistichnii sumisnii analiz kardiosignaliv na osnovi vektora tsiklichnikh ritmichno pov'yazanikh vipadkovikh protsesiv [Statistical joint analysis of cardiosignals based on the vector of cyclic rhythmically coupled random processes]. Elektronika ta sistemi upravlinnya (Electronics and control systems), 18(4), 22-29.

Arthur, D., & Vassilvitskii, S. (2006). How slow is the

k-means method? In Proceedings of the twenty-second mannual symposium on Computational geometry — SCG '06 (p. 144). New York, USA: ACM Press.

Rodgers, J.L., Nicewander, W. A. (1988). Thirteen ways

to look at the correlation coefficient. The American Statistician, 42(1), 59.

Published

2018-01-15

How to Cite

Vakulenko, D. V., Vadzyuk, S. N., Semenets, A. V., Kuchvara, O. M., Kravets, N. O., Klymuk, N. Y., & Lesiv, V. V. (2018). AN APPROACH TO THE USE OF PHYSIONET OPEN SOURCE BIOSIGNALS FOR CALCULATING THE HEART RATE VARIABILITY OF ECG (TIME ANALYSIS) IN THE TRAINING OF MEDICAL STUDENTS. Medical Informatics and Engineering, (3). https://doi.org/10.11603/mie.1996-1960.2017.3.8152

Issue

Section

Articles