A wavelet method for the noise reduction in electrocardiographic signals

被引：0
作者：
Wu, Ye [1 ]
Wu, Yunfeng [1 ]
Ng, Sin-Chun [2 ]
Zhou, Yachao [3 ]
Li, Ruifan [1 ]
Zhong, Yixin [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100088, Peoples R China
[2] Open Univ Hong Kong, Sch Sci & Technol, Kowloon, Peoples R China
[3] Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年
基金：
美国国家科学基金会;
关键词：
electrocardiogram; noise reduction; wavelet analysis;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The electrocardiogram (ECG) is the routinely used biomedical signal for diagnosis of cardiovascular diseases, and the removal of noise in ambulatory ECG recordings is essential in a number of clinical applications. In this paper, we present a Daubechies wavelet analysis method with a decomposition free of level 5 (Wdb5) for analysis of noisy ECG signals. The implementation includes [lie procedures of signal decomposition and reconstruction with hard-thresholding. The experiments were tested with seven. ambulatory ECG records from the benchmark MIT-BIH Arrythmia Database, and our results demonstrate the effectiveness of the Wdb5 analysis method for the noise reduction in ECG signals. Furthermore, the quantitative study of result evaluation indicates that the Wdb5 filtering method is superior to the popular least-mean-square (LMS) filler by achieving significantly higher signal-to-noise ratio and belter filtered-noise entropy values.
引用
收藏
页码：1857 / +
页数：3
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