New Threshold and Shrinkage Function for ECG Signal Denoising Based on Wavelet Transform

Author

Yang Ying ; Wei Yusen

Author_Institution

Dept. of EE, Xi´an Univ. of Technol., Xi´an, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

In order to denoise the noisy ECG signal efficiently and keep the denoised ECG signal in distortion-free and smooth, a new threshold and shrinkage function are proposed in this paper based on the multi-analysis wavelet threshold denoising. The parameters of the function were optimized by denoising the noisy ECG signal. The denoising effects of different shrinkage function for ECG signal were compared. The results show that the highest SNR can be reached using the proposed function to denoise ECG signal with different levels of contamination.

Keywords

electrocardiography; medical signal processing; signal denoising; wavelet transforms; ECG signal denoising; electrocardiography; multianalysis wavelet transform; shrinkage function; threshold denoising; Additive white noise; Cardiovascular diseases; Contamination; Distortion; Electrocardiography; Noise reduction; Programmable logic arrays; Signal denoising; Signal processing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5163105

Filename

5163105