Optimal algorithm for ECG denoising using Discrete Wavelet Transforms

Abstract

The ECG signal is used for various medical diagnoses. For diagnosis purposes, the ECG signal must be free from the noise and undesired disturbances. In the present work the best algorithm for de-noising the ECG signal is identified using Discrete Wavelet Transform. Statistical analysis and comparison has been made to find the best wavelet function, their decomposition level and threshold selection method to be used for signal de-noising and thus improve the Signal to Noise Ratio.