脑电图信号分析中小波变换与快速傅里叶变换方法的比较

Comparison of wavelet transform and FFT methods in the analysis of EEG signals.

作者信息

Akin M

机构信息

Department of Electric and Electronic Engineering, Dicle University, Diyarbakir, Turkey.

出版信息

J Med Syst. 2002 Jun;26(3):241-7. doi: 10.1023/a:1015075101937.

DOI:10.1023/a:1015075101937

PMID:12018610

Abstract

In this study, whether the wavelet transform method is better for spectral analysis of the brain signals is investigated. For this purpose, as a spectral analysis tool, wavelet transform is compared with fast Fourier transform (FFT) applied to the electroencephalograms (EEG), which have been used in the previous studies. In addition, the time-domain characteristics of the wavelet transform are also detected. The comparison results show that the wavelet transform method is better in detecting brain diseases.

摘要

在本研究中，探讨了小波变换方法是否更适合于脑电信号的频谱分析。为此，作为一种频谱分析工具，将小波变换与应用于脑电图（EEG）的快速傅里叶变换（FFT）进行比较，脑电图在先前的研究中已被使用。此外，还检测了小波变换的时域特征。比较结果表明，小波变换方法在检测脑部疾病方面表现更佳。