Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia.
Dokl Biochem Biophys. 2023 Aug;511(1):169-172. doi: 10.1134/S1607672923700333. Epub 2023 Oct 13.
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.
心率变异性（HRV）分析广泛用于无创评估心脏调节系统的状态。本研究旨在评估希尔伯特-黄方法计算 HRV 频谱参数的能力，并与常用的傅里叶分析进行比较。傅里叶分析允许估计 HRV 振荡在与交感神经、副交感神经和体液调节系统活动相关的固定频率间隔内的平均频谱幅度和功率。使用希尔伯特-黄方法，我们揭示了 HRV 振荡集中的四个由高斯函数描述的频谱分量，并显示了它们之间不存在固定边界。所获得的心脏节律波动的频谱分量的能量定量特征可以作为心脏节律调节的诊断方法的基础，补充常用的方法。
