Title :
Denoising of Biological Signals using a New Wavelet Shrinkage Method
Author :
Prasad, V.V.K.D.V. ; Siddaiah, P. ; Rao, B. Prabhakara
Author_Institution :
Dept. of ECE, RVR & JC Coll. of Eng., Guntur
Abstract :
Wavelet shrinkage methods have been very successful in denoising of biological signals. A New wavelet shrinkage method for denoising of biological signals is proposed in this paper. This method is applied to denoise ECG signal corrupted with additive Gaussian noise. We compared the performance of this new method with that of popular shrinkage methods based on hard and soft filters. Simulation results showed that this new method is superior to hard and soft shrinkage methods.
Keywords :
Gaussian noise; electrocardiography; filtering theory; medical signal processing; signal denoising; wavelet transforms; ECG signal; additive Gaussian noise; biological signal denoising; soft filter; wavelet shrinkage method; Discrete wavelet transforms; Educational institutions; Electrocardiography; Filters; Noise reduction; Region 10; Signal to noise ratio; Wavelet coefficients; Wavelet transforms; Working environment noise; ECG; denoising; wavelet shrinkage; wavelet thresholding; wavelet transform;
Conference_Titel :
Industrial and Information Systems, 2008. ICIIS 2008. IEEE Region 10 and the Third international Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-2806-9
Electronic_ISBN :
978-1-4244-2806-9
DOI :
10.1109/ICIINFS.2008.4798410
