Title :
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
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;
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
DOI :
10.1109/ICICTA.2010.404
