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
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
收藏
页码:92 / 95
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