A New Technique for ECG Denoising Using Adaptive Wavelet Shrinkage

被引：1
|
作者：
Chen, Tianjian [1 ]
Zhao, Yong [1 ]
Yu, Chunyu [1 ]
Shen, Ling [1 ]
机构：
[1] Peking Univ, Shenzhen Grad Sch, Key Lab Integrated Microsyst, Shenzhen 518055, Peoples R China
来源：
2008 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CCCM.2008.54
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Noise reduction or cancellation is important for getting a clear and usefid signal. Some signals, such as, ECG (Electrocardiograph) signals, are non-stationary and the noise statistical properties are complicated because of the complexity of the human body. However, details and features of the signal must be preserved very well after the denoising. In this paper, via a hybrid solution by using wavelet denoising and B-Spline interpolation, we propose a new denoising technique for ECG signals whose waveform are important in practice. Experiments show the technique proposed in this paper can suppress the noise and preserve the detail features of the signal at the same time.
引用
收藏
页码：256 / 259
页数：4
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