T.A. Vityazeva1

1 Ryazan State Radio Engineering University named after V.F. Utkin (Ryazan, Russia)

At present, mathematical methods of HRV analysis are increasingly being used in various fields of physiology and medicine. It should be noted that the most common method of analysis is the spectral analysis of the dynamic series of RR-intervals (time intervals between adjacent R-waves of the electrocardiosignal). With the help of spectral analysis of HRV, it is possible to obtain a quantitative assessment of the influence of various regulatory systems on the work of the heart muscle, since spectral analysis provides information on the distribution of the power of the frequency components of the oscillations of RR intervals. The spectral components of the HRV signal are in the range from zero to 0.4 Hz. At the same time, the sampling frequency of most modern electrocardiographs is about 1000-2000 Hz. This leads to the problem of very high computational costs in the extraction and analysis of HRV. To reduce the volume of computational operations, it is advisable to use multi-rate signal processing (MOS) with a transition to a lower sampling rate. Another aspect of the problem under consideration is the direct relationship between HRV and human respiration. The analysis of this connection allows to increase the reliability of decision-making about the state of human health, including in cases where, due to the individual characteristics of the organism, the observed vital signs do not fit into the standard framework. In this paper, we propose algorithms for multi-speed joint processing of respiration and heart rate signals, and also propose a method for generating synchronized sequences of cardiorhythmograms and pneumograms, taking into account time delays in the processing and recording of these signals. The block diagram of a narrow-band filter was calculated using the Croscier-Rabiner method with selected decimation coefficients at each step of downsampling with an estimate of computational costs. Next, the optimization of the parameters of the proposed multistage structure of a set of narrow-band digital filters was carried out according to the criterion of reduced computational costs. To evaluate the effectiveness of practical application, the developed optimal structure of the HRV analysis filter set was implemented on one of the few domestically produced processors 1967VN028 of PKK Milanr JSC, which meets the necessary requirements for computing performance and power consumption, and an assessment of the time and memory costs was also carried out.

Vityazeva T.A. Methods of multi-rate signal processing in the problem of heart rate variability analysis. Biomedicine Radioengineering. 2022. V. 25. № 4. Р. 79-86. DOI: https://doi.org/10.18127/j15604136-202204-10 (In Russian)

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