Parabolic Filter for Removal of Powerline Interference in ECG Signal Using Periodogram Estimation Technique

Electrophysiology and ischemic changes that may occur in heart due to myocardial infarction and arrhythmia can be well studied using electrocardiogram. But in real practice, Electrocardiography (ECG) is often corrupted by different artifacts and noise. For efficient and quality diagnosis of abnormality, denoising of the acquired ECG signal is essential. Any filtering technique must preserve the important clinical features while providing high attenuation of noise. Accordingly, several techniques have been proposed to extract the ECG components contaminated with the background noise and allow the measurement of subtle features in the ECG signal. In this paper, a parabolic filter is proposed to remove the 50Hz power line interference (PLI) in the ECG signal. Different filters were used for denoising and the performance of all the filters were studied in Matlab environment using Periodogram estimation technique. Other parameters like Minimum mean Squared error and Signal to noise ratio were also evaluated for all the filters.