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[小波变换与小波提升在心电图信号处理中的应用]

[The application of wavelet transform and wavelet lifting in signal processing of EGG].

作者信息

Ding Wei, Qin Shujia, Miao Lei, Xi Ning, Li Hongyi

机构信息

Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2012 Aug;29(4):745-9.

Abstract

This paper introduced the definition, structure of basis wavelet functions and wavelet lifting. Wavelet transform and wavelet lifting were applied in signal processing of EGG in our study. The characteristics of signal energy, information entropy and joint entropy were analyzed to introduce general selective method of wavelet basis functions after the signals have been filtered. In order to verify the rationality of evaluation criteria, signals of electrogastrogram (EGG) were processed and filtered with different wavelet basis functions in the experiments. Signals of EGG were filtered by wavelet transform and wavelet lifting, slow wave and spike wave of EGG were filtered. And the rationality of wavelet transform, wavelet lifting and effectiveness of EGG filter algorithm were proved by the experimental data. It provided an effective solution for the diagnosis and measurement of gastric diseases.

摘要

本文介绍了基本小波函数的定义、结构以及小波提升。在我们的研究中,小波变换和小波提升被应用于心电图信号处理。分析了信号能量、信息熵和联合熵的特征,以介绍信号滤波后小波基函数的一般选择方法。为了验证评估标准的合理性,在实验中用不同的小波基函数对胃电图(EGG)信号进行了处理和滤波。通过小波变换和小波提升对EGG信号进行滤波,滤除了EGG的慢波和尖波。实验数据证明了小波变换、小波提升的合理性以及EGG滤波算法的有效性。它为胃部疾病的诊断和测量提供了一种有效的解决方案。

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