Spectral components of heart rate variability determined by wavelet analysis
Spectral components of heart rate variability determined by wavelet analysis
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DOI：
10.1088/0967-3334/21/4/302
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发表时间：
2000-11-01
影响因子：
3.2
通讯作者：
Urbancic-Rovan, V
中科院分区：
文献类型：
--
作者：
Lotric, MB;Stefanovska, A;Urbancic-Rovan, V
心率变异性（HRV）的频谱成分，确定在时间-频率域使用小波变换。基于小波变换的对数分辨率所实现的低频内容的更精细估计，提出了已经由傅立叶和基于模型的方法定义的谱间隔的校正。特征峰在0.0095和0.6 Hz之间。在时间上追踪，并定义了四个频谱间隔，I（0.0095-0.021 Hz）、II（0.021-0.052 Hz）、III（0.052-0.145 Hz）和IV（0.145-0.6 Hz），对于包括的所有受试者，峰值位于其中。这些间隔被证明是不变的，无论年龄和系统的状态。我们还表明，频谱成分的频率和功率与年龄，AMI，特别是II型糖尿病。
Spectral components of heart rate variability (HRV) are determined in the time-frequency domain using a wavelet transform. Based on the finer estimation of low-frequency content enabled by the logarithmic resolution of the wavelet transform, corrections of spectral intervals, already defined by Fourier and model based methods, are proposed. The characteristic peaks between 0.0095 and 0.6, Hz. are traced in time and four spectral intervals are defined, I(0.0095-0.021 Hz), II (0.021-0.052 Hz), III (0.052-0.145 Hz) and IV (0.145-0.6 Hz), within which peaks are located for all subjects included. These intervals are shown to be invariant regardless of the age and the state of the system. We also show that the frequency and power of the spectral components are related to age, AMI and particularly to type II diabetes mellitus.