Self-similar properties of long term heart rate variability assessed by discrete wavelet transform

被引：3

作者：

Calcagnini, G ^{[1
]}

Censi, F ^{[1
]}

Cesarini, A ^{[1
]}

Lino, S ^{[1
]}

Cerutti, S ^{[1
]}

机构：

[1] Univ Rome La Sapienza, Dept Informat & Syst Sci, I-00199 Rome, Italy

来源：

COMPUTERS IN CARDIOLOGY 1998, VOL 25 | 1998年 / 25卷

关键词：

D O I：

10.1109/CIC.1998.731801

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Aim of this study was to test the self-similar properties of 24h Holter Heart Rate Variability (HRV) data using the Discrete Wavelet Transform (DWT), in a population of hypertensive patients, compared with a normal group. For the DWT analysis we used a 2(nd) order Daubechies filter according to theoretical considerations on nonstationarity, border effects and numerical efficiency. We estimated the 1/f spectral exponent as either the slope of the log-log plot of the power spectrum (alpha-FFT) and the slope of the semilog plot of the DWT details variances vs. the scale (alpha-DWT). In hypertensive patients, alpha-FFT was 1.14+/-0.10 and alpha-DWT was 1.1+/-0.09; in normal subjects, alpha-FFT and alpha-DWT were 1.08+/-0.11 and 1.06+/-0.07, respectively. These results suggest the DWT as a robust and efficient method to characterize long term HRV self-similarity, overcoming the limitations of the classical FFT approach for 1/f processes.

引用

页码：333 / 336

页数：4