Removal of White Noise from ECG Signal Based on Morphological Component Analysis

查看全文 作　　者：ZHAO [1]Wei;HUANG Xiao-[2]jing;YOU Rong-[2]yi

机构地区：[1]ChengYi College, Jimei University;[2]School of Sciences, Jimei University

出　　处：《Chinese Journal of Biomedical Engineering(English Edition)》索引2014年第23卷第1期,共6页

基　　金：Natural Science Foundatoin of Fujian Province of China;grant number:2012J01280 摘　　要：To effectively suppress white noise and preserve more useful components of electrocardiogram(ECG) signal, a novel de-noising method based on morphological component analysis(MCA) is proposed. MCA is a method which allows us to separate features contained in an original signal when these features present different morphological aspects. According to the features of ECG, we used the UWT dictionary to sparsely represent mutated component, and used the DCT dictionary to sparsely represent smooth component. The experimental results of the samples choosing from MIT-BIH databases show that the MCA-based method is effective for white noise removal. 关键词：ECG信号成分分析形态学白噪声稀疏表示去噪方法噪声去除心电图

相关文献

参考文献（8）
引证文献（5）
耦合文献（0）

参考文献(8)

引证文献(5)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Removal of White Noise from ECG Signal Based on Morphological Component Analysis

参考文献(8)

引证文献(5)

用户提示