Title :
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
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;
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
DOI :
10.1109/ICBBE.2009.5163105
