Estimation of Heart Rate Variability Fluctuations by Wavelet Transform

• Autorzy: Popov A. , Karplyuk Y. , Fesechko V.
• Języki publikacji: EN

Abstrakty

EN

Technique for separate estimation of fast and slow fluctuations in the heart rate signal is developed. The orthogonal dyadic wavelet transform is used to separate the slow heart rate changes in approximation part of decomposition and fast changes in detail parts. Experimental results using the recordings from persons practicing Chi meditation demonstrated the applicability of estimation heart rate fluctuations with the proposed approach.

Słowa kluczowe

EN

heart rate variability; HRV fluctuations; HRV wavelet analysis; time-dependent HRV estimation; wavelet transform

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2011
• Tom: Vol. 57, No. 3
• Strony: 395--400
• Opis fizyczny: Bibliogr. 6 poz., wykr.

Twórcy

autor

Popov A.

autor

Karplyuk Y.

autor

Fesechko V.

• Department of Physical and Biomedical Electronics, National Technical University of Ukraine, Kyiv Polytechnic Institute, Ukraine,

Bibliografia

• [1] V. M. Mikhailov, Heart Rate Variability: the Experience of Practical Application. Ivanovo: Ivanovo State Medical Academy Publishing, 2002.
• [2] „Heart Rate Variability. Standarts of Measurements, Physiological Interpretation and Clinical Use”, European Heart Journal, vol. 17, pp. 354 - 381, 1996.
• [3] S. A. Mallat, Wavelet Tour of Signal Processing. Moskva: Mir, 2005.
• [4] I. Daubechies, Ten Lectures on Wavelets. Izhevsk: Regularnaya i Khaoticheskaya Dinamika, 2001.
• [5] A. N. Yakovlev, Introduction to Wavelet Transforms. Novosibirsk: Novosibirsk State Technical University Publishing, 2003.
• [6] A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley, „PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals”, Circulation, vol. 101, no. 23, pp. e215 - e220, 2000.