"JOURNAL OF RADIO ELECTRONICS" (Zhurnal Radioelektroniki ISSN 1684-1719, N 5, 2017

contents             full textpdf   

A HHT-based time-frequency analysis of arterial blood pressure signals


V. D. Ompokov, V. V. Boronoyev

Institute of Physical Materials Science of SB RAS, Sakhyanovoy 6, Ulan-Ude 670047, Russia


The paper is received on May 22, 2017


Abstract. The paper presents the results of the using of Hilbert-Huang Transform as an instrument for digital processing biomedical signals. It is possible to obtain information on the characteristics of the time-varying process in conditions of noises and nonstationary dynamics. Hilbert-Huang Transform is a method of time-frequency analysis of signals. It is possible to evaluate instantaneous values of the frequencies and their amplitudes at every instant. This method is designed to use the Hilbert Transform for single-frequency functions that are obtained in the process of empirical mode decomposition.

It has been shown that about 8 11 mode functions are distinguished in the process of empirical mode decomposition of blood pressure signals. The number of mode functions is depending on the structure of the signal and the presence of noises. It has been revealed that over 95% of the signal power is contained in 4th-6th mode functions (imf4-imf6). The functions imf1-imf3 are high frequency noises; the functions imf7-imf9 are low frequency trend.

The conclusion has been made that this approach makes it possible to identify a number of rhythmic processes in the structure of a valid arterial blood pressure signal. For the estimation of the time-frequency characteristics significance, the survey sample consists of 3 groups. It has been shown that the dynamics of mode functions differs in all groups. For the quantitative estimation of the time-frequency analysis data, for each Hilbert spectrum of the mode functions, weighted average frequency and weighted square deviation were defined. Taking into account the complicated character of the registered signals, the use of the high-accuracy methods of examining the nonstationary noisy signals like as Hilbert-Huang Transform permits revealing the characteristic features of the arterial blood pressure signals that improve the diagnostication quality.

Keywords: Hilbert-Huang transform, time-frequency analysis, pulse signal.


1.       Norden E. Huang, Samuel S.P. Shen. The Hilbert-Huang transform and its applications. World Scientific Publishing Co. Pte. Ltd, 2005, 311 p.

2.       Pavlov A.N., Filatova A E. Method of empirical modes and wavelet-filtering: application in geophysical problems. Izvestiya Vuzov. Prikladnaya Nelineynaya Dinamika. - Proceeding of High School. Applied Nonlinear Dynamics, 19, 2011, No. 1, P. 3-13. (In Russian)

3.       Boronoyev V.V., Ompokov V.D. The Hilbert-Huang transform possibilities for biomedical signal analysis. Biomedicinskaya radioehlektronika - Biomedical Radioelectronics, 2014, No 3, P. 40-44 (In Russian)

4.       Boronoyev V.V., Ompokov V.D. The Hilbert-Huang transform for biomedical signal analysis. Cifrovaya obrabotka signalov i ee primenenie DSPA-2014 - Digital signal processing and its applications DSPA-2014, Moscow, RNTORES, Vol. 1, P. 183-186. (In Russian)

5.       Ompokov V.D., Boronoyev V.V. The problem of solving the Hilbert-Huang transform application for biomedical signal processing based on CEEMDAN method. Zhurnal Radioelektroniki - Journal of Radio Electronics, 2016, No. 9. Available at http://jre.cplire.ru/jre/sep16/12/text.pdf. (In Russian)

6.       Valtneris A.D., Yauya Ya.A. Sfigmografiya kak metod otsenki izmeneniy gemodinamiki pod vliyaniem fizicheskoi nagruzki. [Sphygmography as a Method for Assessing Hemodynamic Changes Caused by Physical Exercise]. Riga, Zanatne Publ., 1988. 132 p. (In Russian)


For citation:

V. D. Ompokov, V. V. Boronoyev. A HHT-based time-frequency analysis of arterial blood pressure signals. Zhurnal Radioelektroniki - Journal of Radio Electronics, 2017, No. 5. Available at http://jre.cplire.ru/jre/may17/8/text.pdf. (In Russian)