De-Noising of ECG Signal Using Hybrid Adaptive Filters

Volume 5 Issue 1 January - March 2017

Research Paper

De-Noising of ECG Signal Using Hybrid Adaptive Filters

Laxmi Vandana*, J. Swathi**, 0***

*-*** Assistant Professor, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Andhra Pradesh, India.

Vandana, L., Swathi J., Sastry D. V. L. N. (2017). De-Noising of ECG Signal Using Hybrid Adaptive Filters. i-manager’s Journal on Digital Signal Processing, 5(1), 1-6. https://doi.org/10.26634/jdp.5.1.13525

Abstract

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.