Performance Comparision of Wavelet Threshold Estimators for ECG Signal Denoising

In recent years ECG signal plays an important role in the primary diagnosis and survival analysis of heart diseases. The presence of parasite interference signals could cause serious problems in the registration of the ECG signals. In recent years wavelet thresholding becomes most preferred technique for the removal of these noises. However, the critical problem is computation of proper threshold value. A number of threshold estimators are proposed in the literature. In this paper, we have evaluated the performance of some of the most promising threshold estimators for the denoising of ECG signal.