JDP_V5_N1_RP1 Laxmi Vandana J. Swathi D.V.L.N. Sastry Journal on Digital Signal Processing 2322–0368 5 1 1 6 Adaptive Filters, Electrocardiograph, Hybrid Algorithm Electrocardiography (ECG), which is the measure of the electrical activity of the heart, the shape of this signal tells much about the condition of the heart of the patient. Naturally, the ECG signal gets distorted by different artifacts which must be removed otherwise it will convey an incorrect information regarding the patient's heart condition. Several simple and efficient LMS and Normalized LMS adaptive filters that are computationally superior having multiplier free weight update loops are used for cancellation of noise in ECG signals. Implementing Hybrid algorithm on ANC provides better performance than adaptive techniques used to enhance the ECG signal. In this work, fidelity parameters like Signal to Noise Ratio (SNR), MSE, and LSE have to be computed. January - March 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13525