ECG Denoising Using Modulus Maxima of Wavelet Transform

被引：19
|
作者：
Ayat, Mohammad [1 ]
Shamsollahi, Mohammad B. [1 ]
Mozaffari, Behrooz [2 ]
Kharabian, Shahrzad [1 ]
机构：
[1] Sharif Univ Technol, Sch Elect Engn, BiSIPL, Tehran, Iran
[2] American Univ Sharjah, Engn Coll, Dept Elect Engn, YYY Sharjah, U Arab Emirates
来源：
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20 | 2009年
关键词：
ECG Denoising; Wavelet Transform; singular points; Lipschitz exponents;
D O I：
10.1109/IEMBS.2009.5332617
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
ECG denoising has always been an important issue in medical engineering. The purposes of denoising are reducing noise level and improving signal to noise ratio (SNR) without distorting the signal. This paper proposes a method for removing white Gaussian noise from ECG signals. The concepts of singularity and local maxima of the wavelet transform modulus were used for analyzing singularity and reconstructing the ECG signal. Adaptive thresholding was used to remove white Gaussian noise modulus maximum of wavelet transform and then reconstruct the signal.
引用
收藏
页码：416 / +
页数：2
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