Spectral Analysis of Heart Rate Variability Based on the Hilbert–Huang Method

Analysis of heart rate variability (HRV) is widely used for noninvasive assessment of the state of the regulation systems of the heart. The aim of this study was to evaluate the capabilities of the Hilbert–Huang method for calculating spectral parameters of HRV in comparison with the commonly used F...

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Bibliographic Details
Published in:Doklady. Biochemistry and biophysics 2023-08, Vol.511 (1), p.169-172
Main Authors: Grinevich, A. A., Chemeris, N. K.
Format: Article
Language:English
Subjects:
Biochemistry
Biological and Medical Physics
Biomedical and Life Sciences
Biophysics
Fourier analysis
Heart rate
Heart Rate - physiology
Humans
Life Sciences
Molecular Biology
Oscillations
Parasympathetic nervous system
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Summary:Analysis of heart rate variability (HRV) is widely used for noninvasive assessment of the state of the regulation systems of the heart. The aim of this study was to evaluate the capabilities of the Hilbert–Huang method for calculating spectral parameters of HRV in comparison with the commonly used Fourier analysis. Fourier analysis allows estimation of averaged spectral amplitudes and power of HRV oscillations in fixed frequency intervals, which are associated with the activity of sympathetic, parasympathetic, and humoral regulation systems. Using the Hilbert–Huang method, we revealed four spectral components, described by Gaussian functions, in which HRV oscillations are concentrated, and showed the absence of fixed boundaries between them. The obtained energy quantitative characteristics of the spectral components of heart rhythm oscillations can serve as the basis for diagnostic methods of heart rhythm regulation, supplementing the commonly used ones.
ISSN:1607-6729
1608-3091
DOI:10.1134/S1607672923700333