A comparative analysis of various wavelet shrinkage functions for ECG signals

ECG is the generally recognized biomedical signal for diagnostic purpose and it shows the electrical activity of the heart muscles. ECG is a non stationary signal where wavelet transform (WT) is useful for analyzing it. Denoising is the process of removing noise in order to preserve useful information. A comparative analysis of various wavelet shrinkage functions for ECG signal denoising such as soft and hard shrinkage functions, hyper shrinkage function, subband - adaptive shrinkage functions are discussed. The performance of the wavelet shrinkage functions are compared based on the signal to noise ratio (SNR) Value.