EMD-DWT Based ECG Denoising Technique using Soft Thresholding

Abstract

Now a days ECG signal plays an important role in the primary diagnosis and analysis of cardiac diseases and abnormalities present in the heart. Due to the presence of artifacts, the analysis of the ECG is difficult. Therefore, undesirable noise and signals should be removed or eliminated from the ECG in order to ensure proper analysis and diagnosis. Denoising is the process s used to separate original ECG signal from noise to obtain desired noise-free signal. In this paper to eliminate Additive White Gaussian Noise (AWGN) a hybrid approach EMD-DWT (Empirical mode Decomposition-Discrete Wavelet Transform) is used. To measure the performance RMSE, SNR, PSNR and CC values are used and all the simulations are carried out using MATLAB.