高频心电图三维频谱分析方法的研究

THE STUDY ON ANALYSIS METHOD OF THREE DIMENSIONAL SPECTRUM FOR HIGH FREQUENCY ELECTROCARDIOGRAM

小波变换是一种线性运算，它对信号进行不同尺度的分解，可有效地应用于如信噪分离，提高时频两域的分辩率等。本文讨论小波变换用于心电ＱＲＳ波形中细微特征（即高频成份特征）提取的方法。实验结果表明∑Ｕ（８０～３００）Ｈｚ／∑Ｕ（５５～８０）Ｈｚ比值，对于冠心病患者其值普遍大于无冠心病“正常人”的值，差异显著（Ｐ＜０００２），即（８０～３００）Ｈｚ为ＨＦＥＣＧ中频率分量变化较为敏感的频段。

Wavelet transformation is a linear operation that decomposes a signal into components that appear at different scales, it is used to separate signal noise and to enhance distinguish ability of time-frequency domain effectually. In this article, the wavelet transformation is used to extract fine characteristic from QRS wave form. The results shows that CAD were significantly higher than control group (P<0.002)for ∑U(80～300)/∑U(55～80)Hz ratio in the range of 80～300Hz.