Comparison of wavelet transform based techniques in the denoising of ECG signals

Abstract

In this paper, wavelet decomposition tree and wavelet-domain Wiener filtering techniques are applied on ECG signals for denoising and their denoising performance is compared. Wavelet-domain Wiener filtering has affected some of the basic features of ECG signal and original characteristics have been removed besides the noise. On the other hand, the denoised signal by wavelet decomposition technique keeps much more characteristics of the original ECG signal. This paper presents the comparison by performing denoising simulations of noisy ECG signals.