Author : V.V.K.D.V.Prasad, T.Swarna Latha and M.Suresh

 
Methods based on thresholding of wavelet coefficients have been found to be popular in the estimation of biological
signals from noisy environment. Hard and soft filters are most commonly used in these methods. In this paper a novel
thresholding filter for wavelet shrinkage estimation of biological signals is proposed. The proposed novel filter is applied
using Visu Shrink rule and top rule to denoise ECG signal contaminated with additive white Gaussian noise. The
performance of the filter is compared with that of hard and soft filters. Mean Square Error (MSE) and Signal to Noise
Ratio (SNR) are used as criteria for testing the performance of denoising. From the simulation results it is found that the
novel filter performs better than soft filter with Visu rule and hard filter with top rule.

Key-Words: ECG, Wavelet transform, Wavelet thresholding, Wavelet shrinkage, Novel thresholding filter, Denoising

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.3(Aug- 2013)