Comparative Performance Analysis of LMS and Notch Filter to Remove the Noise from ECG Signal

The electrocardiogram (ECG) is an important diagnosis event for emergency cardiac patient. But the problem is, the ECG signal is easily corrupted by the different noise signals such as, power line interference (PLI), the external electromagnetic fields, random body movements, etc. It is observed that the patient does not get proper treatment due to the deficiency of proper cardiac detection. Thus, the aim of this paper is to eliminate noise from the ECG signal to recover the original one. Here two methods are used for de-noising the noisy ECG signal such as, least mean square (LMS) algorithm and Notch filter in terms of mean square error (MSE). Finally, the simulation is performed and the performances of these two methods are compared based on the MSE.