Research of removing noise in ECG signal based on morphology and lifting wavelet

被引：0

作者：

Zhang, Lei-Lei ^{[1
]}

Sun, Peng ^{[2
]}

Lin, Jin-Chao ^{[1
]}

Luo, Zhi-Yong ^{[1
]}

Li, Guo-Quan ^{[1
]}

Pang, Yu ^{[1
]}

机构：

[1] Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing,400065, China

[2] The 309th Hospital of Chinese People's Liberation Army, Beijing,100091, China

来源：

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2015年 / 35卷

关键词：

Electrocardiography;

D O I：

10.15918/j.tbit1001-0645.2015.supplement1.020

中图分类号：

学科分类号：

摘要：

ECG is a typical weak noise-corrupted signal, with strong non-linear and non-stationary feature. It is difficult for traditional wavelet de-noise algorithm to remove the high- and low- frequency noise concurrently and the computation expense is large. The method that combines morphology and lifting wavelet threshold de-noise is able to remove the low frequency noise by a morphological filter and suppress the high frequency noise by the lifting wavelet de-noise. Based on the data from MIT-BIH arrhythmia database, the simulation results show that the proposed method is capable to remove the high- and low-frequency noise of the ECG signal concurrently and improve the ECG signal quality. ©, 2015, Beijing Institute of Technology. All right reserved.

引用

页码：92 / 95

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