THE DEGREE OF CLOSENESS OF WAVELET TRANSFORMS IN THE ANALYSIS OF ECG SIGNALS

Authors

  • Олексій Борисович Кононенко Кафедра обчислювальної математики Київський національний університет ім. Тараса Шевченка, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2010.3061

Keywords:

wavelet transforms, proximity measures, ECG-signals

Abstract

In the article the relevance of using wavelet transforms to analyze electrocardiogram data is grounded, the mathematical apparatus for calculating the required proximity measures and the use of wavelet transforms in real medical practice is given.

Author Biography

Олексій Борисович Кононенко, Кафедра обчислювальної математики Київський національний університет ім. Тараса Шевченка

Аспірант

References

  1. Бурнаев Е.В., Оленев Н.Н. Мерыблизости на основевейвлеткоэффициентов для сравнения статистических и расчетных временных рядов – Межвуз. сб. тр. за 2005 г.(Вып.10). Киров: ВятГУ. – 2006. – C. 41-51.
  2. ДабровскиА. Суточное мониторирование ЭКГ. / А. Дабровски, Б. Дабровски, Р. Пиотрович. – М.: Медпрактика, 2000. – 311 с.
  3. Akay M. Wavelet Applications in Medicine / M. Akay // IEEE Spectrum. – 1997. – Vol. 34. – No. 5. – Pp. 50-56.
  4. Buckingham T.A. Signal-averaged electrocardiograms in the time and frequency domains. / T.A. Buckingham, C. Thessen, D. Hertweck // American Journal of Cardiology.– 1989. – Vol. 63. – P.820-825.
  5. Crowe J.A. Wavelet transform as a potential tool for ECG analysis and compression. / J.A. Crowe, N.M. Gibson, M.S. Woolfson, M.G. Somekh// Journal of the Biomedical Engineering. – 1992. – Vol. 14(3). – P.268-272.
  6. Haberl R. Spectral mapping of the electrocardiogram with Fourier transforms for identification of patients with sustained ventricular tachycardia and coronary artery disease. / R. Haberl, G. Jige, R. Pulter, G. Steinbeck // European Heart Journal. – 1989. – Vol.10. – P.316-322.
  7. Gyaw T.A. The wavelet transform as a tool for recognition of biosignals. / T.A. Gyaw, S.R. Ray // Biomedical Scientific Instruments. – 1994–Vol. 30. – P.63-68.
  8. Meste O. Ventricular Late Potentials сharacterisation in Time-Frequency Domain by мeans of a Wavelet Transform. / O. Meste, H. Rix, P. Caminal, N. Thakor // IEEE Transaction on Biomedical Engineering. – 1994. – Vol. 41. – P.625- 633.
  9. Simson M.B. Detection of delayed ventricular activation on the body surface in dogs. / M.B. Simson, D. Euler, E.I. Michelson // American Journal of Physiology. – 1981. – Vоl.241. – P.363-369.
  10. Simson M.B. Use of signal in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction. / M.B. Simson // Circulation. – 1981. – Vol. 64. – P.235-242.

Downloads

Published

2010-09-30

How to Cite

Кононенко, О. Б. (2010). THE DEGREE OF CLOSENESS OF WAVELET TRANSFORMS IN THE ANALYSIS OF ECG SIGNALS. Eastern-European Journal of Enterprise Technologies, 5(2(47), 36–41. https://doi.org/10.15587/1729-4061.2010.3061

Issue

Vol. 5 No. 2(47) (2010): Information technology

Section

Information technology

License

Copyright (c) 2014 Олексій Борисович Кононенко

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.