ECG signal denoising based on improved MP algorithm

被引：0

作者：

A-Ying, Wei ^{[1
]}

Yin-Jing, Guo ^{[1
]}

Xue-Zhen, Cheng ^{[2
]}

机构：

[1] College of electronic communication and physical, Shandong University of Science and Technology, Qingdao, China

[2] College of electrical and automation, Shandong University of Science and Technology, Qingdao, China

来源：

International Journal of Signal Processing, Image Processing and Pattern Recognition | 2015年 / 8卷 / 11期

关键词：

Signal denoising - Biomedical signal processing - Genetic algorithms;

D O I：

10.14257/ijsip.2015.8.11.30

中图分类号：

学科分类号：

摘要：

The electrocardiogram (ECG) signal processing plays an important role in diagnosing cardiopathy. Sparse decomposition provides a new tool for ECG signal processing. Matching pursuit (MP) algorithm uses overcomplete dictionary to decompose the signal, so it can reflect the properties of the signal. In decomposition process, searching a best atom of the dictionary is an optimal problem; Genetic Algorithm (GA) is used to solve this problem. This paper proposed an improved MP algorithm based on GA to denoise the ECG signal, whose dictionary is composed of Gabor atoms. The experiment simulation results show that the proposed method can get a good denosing effect in a shorter time than not use GA algorithm. © 2015 SERSC.

引用

页码：329 / 338