Wavelet transform procedure as the basis for complete automatic interpretation of the cardiac cycle phase structure

Автор: Fedorov Vladimir, Mamberger Konstantine

Журнал: Cardiometry @cardiometry

Рубрика: R&D engineering in cardiometry

Статья в выпуске: 1, 2012 года.

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Aims The article aims at describing the basic principles of cardiometry - a fundamentally new scientific field which enables the accurate measurement of cardiovascular system parameters. Materials and Cardiometry is based on the mathematical model of hemodynamic methods processes. The model is described by G. Poyedintsev and O. Voronova equations. The variable values in these equations are the cardiac cycle phase durations recorded on the ECG. Results An innovative mathematical model of hemodynamics providing the creation of an innovative indirect method of cardiovascular system parameters measurement was developed. The ECG processing is performed by means of the wavelet transform for detecting the boundaries of the cardiac cycle phases. Conclusion The innovative method of cardiovascular system diagnostics enables to measure 7 main hemodynamic parameters using noninvasive technology for qualitative evaluation of 12 functions of cardiovascular system performance and general assessment of coronary flow status. One of the problems the model of hemodynamics deals with is identifying the boundaries of the cardiac cycle phases. To identify the boundaries of the cardiac cycle phases the method of finding the extrema on the initial ECG and the differentiated ECG basing on the wavelet transform was used.

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Cardiometry, cardiology, ecg, hemodynamics, wavelet transform

Короткий адрес: https://sciup.org/148308718

IDR: 148308718

Список литературы Wavelet transform procedure as the basis for complete automatic interpretation of the cardiac cycle phase structure

  • Ahmed N., Rao K.R. Orthogonal Transforms for Digital Signal Processing. Springer-Verlag (Berlin, Heiderberg, New York), 1975, 248 pages.
  • Saritha C., Sukanya V.,Murthy Y.N. ECG Signal Analysis Using Wavelet Transforms. Bulg. J. Phys. 2008 (Vol. 35): 68-77.
  • Fazlul Haque A.R.M., Md. Hanif Ali, M. Adnan Kiber and Md. Tanvir Hasan. Detection of Small Variations of ECG Features Using Wavelet. ARPN Journal of Engineering and Applied Sciences 2009 (Vol. 4, No 6): 27-30.
  • Ivo Provazn´ık and Jiˇr´ı Kozumpl´ık. Wavelet transform in electrocardiography data compression. International Journal of Medical Informatics 1997, 45 (1-2):111-128.
  • Cuiwei Li, Chongxun Zheng, and Changfeng Tai. Detection of ECG characteristic points using wavelet transforms. IEEE Trans. Biomed. Eng. 1995, 42(1): 21-28.
  • Coifman R., Meyer Y. and Wickerhauser M.V. 1992. Wavelet Analysis and Signal Processing 'Wavelets and their Applications', ed. Ruskai M. B. et al., Jones and Bartlett: 153-178.
  • Rudenko M., Voronova O. & Zernov V. Theoretical Principles of Heart Cycle Phase Analysis. Fouqué Literaturverlag. ISBN 978-3-937909-57-8, Frankfurt a/M. München -London -New York, 2009.
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