Discrete Wavelet Soft Threshold Denoise Processing for ECG Signal

Author

Haibing, Qi ; Xiongfei, Liu ; Chao, Pan

Author_Institution

Sch. of Electr. & Electron. Inf. Eng., Huangshi Inst. of Technol., Huangshi, China

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

126

Lastpage

129

Abstract

Electrocardiogram (ECG) is an essential method for the clinical diagnosis of cardiovascular diseases. The weak biomedical signal buried in all kinds of noise will result in the useful information lost or false information on the wavelet decomposition. According to the characteristics of ECG signal and wavelet transform, a discrete wavelet soft threshold denoise processing method is used to remove the interference of electrical power frequency, electromyography and baseline drift, and a favorable effect is obtained through the simulation.

Keywords

discrete wavelet transforms; electrocardiography; medical signal processing; patient diagnosis; signal denoising; baseline drift; biomedical signal; cardiovascular diseases; clinical diagnosis; discrete wavelet soft threshold denoise processing; electrical power frequency interference; electrocardiogram; electromyography; Discrete wavelet transforms; Electrocardiography; Electromyography; Frequency; Interference; Muscles; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms; ECG signal; denoise processing; discrete wavelet; soft threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.404

Filename

5523115