Electrocardiogram Preprocessing Using Weiner Filter & Least Mean Square Algorithm

Abstract: Electrocardiogram (ECG) is a method of measuring the electrical activities of heart. Every portion of ECG is very essential for the diagnosis of different cardiac problems. But the amplitude and duration of ECG signal is usually corrupted by different noises like Power Line Interference (PLI) & Baseline Wander. In this paper pre processing stage is performed by denoising these two types of noise involved with real ECG signal. Two methods such as Weiner Filter , least-mean-square (LMS) are applied to remove the noises. For better clarification simulation results are compared in terms of different performance parameters such as, power spectral density (PSD) & SNR. Signal Processing Toolbox built in MATLAB® is used for simulation of performance parameter. Keywords: Include at least 4 keywords or phrases.