Optimal Wavelet Basis Selection of Wavelet Shrinkage for ECG De-Noising

Author

Li, Suyi ; Ji, Yanju ; Liu, Guangda

Author_Institution

Coll. of Instrum. Sci. & Electr. Eng., Jilin Univ., Changchun, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. The selection of the appropriate wavelet basis is crucial due to different wavelet bases may cause different de-noising results. This paper concludes the generally used wavelet bases according to the last twenty-year literatures which used wavelet transform to de-noise ECG signals, analyzes the best wavelet basis selection rule and the mathematical characteristics of eight kinds of wavelet bases, and evaluates the generally used wavelet bases through MIT-BIH database by means of mean square error (MSE), then presents Symmlet10 is the best wavelet basis for de-noising ECG signals, furthermore, tests it using wavelet shrinkage method for de-noising ECG signals.

Keywords

cardiology; diseases; electrocardiography; mean square error methods; medical signal processing; patient diagnosis; signal denoising; wavelet transforms; ECG signal denoising; MIT-BIH database; heart disease diagnosis; mean square error; optimal wavelet basis selection; wavelet basis selection rule; wavelet shrinkage method; Databases; Educational institutions; Electrocardiography; Filters; Instruments; Noise reduction; Testing; Wavelet analysis; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5303109

Filename

5303109