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小波阈值去噪技术在ECG信号处理中的应用 被引量:12

The Use Of Wavelet Threshold Denoising In the ECG Signals’Processing
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摘要 本文采用小波阈值去噪方法,利用了小波变换多分辨率的特点,它对信号具有自适应性,可以降低消噪算法的复杂程度,又可保证心电信息特征不被丢失。试验表明,该方法能较好地实现心电信号的消噪,同时也适合于信噪比较低的生物信号的处理中。 In this paper,we use the wavelet threshold denoising method which take use of the multi-resolution feature of the wavelet transform. It has a adaptation characteristic to the signal and not only simplifies the complexity of calculation in the noise rejection method,but also preserves the characteristics of ECG..Experiments show that this method eliminates the noise effectively and could also apply to the biomedical signal processing with lower ratio of signal-noise meanwhile.
作者 薛涛 和卫星
出处 《微计算机信息》 北大核心 2007年第02S期306-307,250,共3页 Control & Automation
基金 江苏省教育厅自然科学基金(02KJD510009)
关键词 心电信号 小波阈值 去噪 electrocardiogram wavelet threshold denoishing noise rejection
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  • 1马双宝,王攀,曾勇.基于Labview7.0虚拟信号发生器的实现[J].微计算机信息,2005,21(1):89-90. 被引量:11
  • 2Cai.T.T,Silverman, Incorporating information on neighboring coefficients into wavelet estimation. Sankhya,2001,63:127-148.
  • 3Nason. G.P,.Wavelet shrinkage using cross-validation. J. R. Statist. Soc. B, 1996,58:463-479
  • 4Tikkanen. P.E, Nonlinear wavelet and wavelet packet denoising of electrocardiogram signal.Biol. Cyben, 1999,80, 259-267;
  • 5Sardy. S, Minimax threshold for denoising complex signals with Waveshrink. IEEE Transactions on Signal Processing, 2000,148:1023-1028
  • 6Jansen. M, Malfait. M,Bultheel.A, Generalized cross-validation for wavelet thresholding. Signal Processing,1997,56:33-44
  • 7Abramovich F, Benjamini Y, Thresholding of wavelet coefficients as multiple hypotheses testing procedure Wavelets and Statistics. Lecture Notes in Statistics 103,Springer-Verlag, 1995, 5-14
  • 8Hall. P, S. Penev, G. Kerkyacharian, D. Picard, Numerical performance of block thresholded wavelet estimators, Stat. and Computing,1997, 7:115-124.
  • 9Cai. T.T, Adaptive wavelet estimation: a block thresholding and oracle inequality approach. Ann. Statist, 1999,27: 898-924.
  • 10Sardy. S, Percival, Bruce, Gao and Stuetzle, Wavelet Shrinkage for Unequally Spaced Data. Statistics and Computing, 1999,9:65-75

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