ECG Signal Denoising Using Adaptive Thresholding Based on Wavelet Transform

被引：0

作者：

Li Nianqiang ^{[1
]}

Wang Zhengsheng ^{[1
]}

Li Ping ^{[1
]}

机构：

[1] Jinan Univ, Sch Informat Sci & Engn, Jinan 250022, Peoples R China

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3 | 2008年

关键词：

ECG; adaptive thresholding; wavelet transform; denoising;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electrocardiogram(ECG) signal may mix various kinds of noises while gathering and recording. Wavelet denoising has been widely applied in ECG denoising. For it the most important thing is how to select the thresholding. The selection of thresholding decides the result of denoising directly. A new method to select the thresholding based on different subbands is introduced in the paper. ECG signals taken from the MIT-BIH database which added standard Gaussian noise using MATLAB. The implication of the proposed adaptive thresholding in denoising and data compression is discussed.

引用

页码：1585 / 1588

页数：4