Selection of an optimal mother wavelet basis function for ECG signal denoising

Electrocardiogram (ECG) is one of the most useful for the early diagnosis and monitoring of the cardiac problems. Cardiovascular diseases are the common cause of death all over the world. Various types of noises can contaminate the ECG signal. In many situations the ECG signal is recorded during ambulatory conditions such that the signal is corrupted by noise which leads to incorrect diagnosis. Hence noise reduction is an essential objective of ECG signal processing. The objective of this study is to compare the performance of mother wavelet basis functions and to select the most suitable mother wavelet so that it retains the desired diagnostics information in the ECG signal. The comparison is based on evaluating the mean square error (MSE), signal to noise ratio (SNR) and correlation.