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A wavelet method for the noise reduction in electrocardiographic signals
Wu, Y. ; Wu, Y. F. ; Wu YF(吴云峰) ; Ng, S. C. ; Zhou, Y. C. ; Li, R. F. ; Zhong, Y. X.
2013-12-12
关键词electrocardiogram noise reduction wavelet analysis
英文摘要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.
语种英语
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/70735]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Wu, Y.,Wu, Y. F.,Wu YF,et al. A wavelet method for the noise reduction in electrocardiographic signals[J],2013.
APA Wu, Y..,Wu, Y. F..,吴云峰.,Ng, S. C..,Zhou, Y. C..,...&Zhong, Y. X..(2013).A wavelet method for the noise reduction in electrocardiographic signals..
MLA Wu, Y.,et al."A wavelet method for the noise reduction in electrocardiographic signals".(2013).
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