ECG Denoising using Wavelet Transform

Abstract: ECG gets easily corrupted by noise and human artifacts. Denoising of ECG is very important issue in medical engineering. This paper presents the Wavelet based method that is Wavelet Transform Modulus Maxima(WTMM), for the removal of white Gaussian noise (AWGN) from ECG signal. Wavelet used here for decomposing the signal into various scales is Db6. This method basically deals with finding out the singularities and local maxima of wavelet transform is used to analyse these singularities. Hard and soft thresholding methods are used to obtain the coefficients of interest and to suppress the noise components. Inverse wavelet transform is used to reconstruct the signal.

Keywords: ECG, Lipschitz exponents, Singularities, Wavelet Transform.