ECG de-noising based on hybrid technique

From early years, Electrocardiogram (ECG) signal has a vital role in diagnosis process and finding information regarding heart diseases. Good quality ECG is used by doctors for identification of physiological and pathological phenomena. For minimum signal degradation, De-noising is performed to reduce noise intensity level. As signal is corrupted by noise, de-noising is important and usual in many applications. Effective suppression of noise in ECG is a classical problem. The proposed method is a hybrid technique, combining Empirical Mode Decomposition (EMD) and Wavelet thresholding. EMD has good ability to decompose the signal. Wavelet thresholding is good in removing the noise from decomposed signal. Using the advantages of both methods, performance of de-noising has been improved. EMD is applied to decompose the noisy Electrocardiogram (ECG) into a series of intrinsic mode functions (IMF) then thresholding is done on each IMF. Finally, the signal is reconstructed with the processed IMF to get the de-noised ECG. From the results it is clear that the proposed method has improved performance.