Comparison of Different ECG Denoising Techniques Based on PRD & Mean Parameters

Abstract

Baseline wandering can mask some important features of the Electrocardiogram (ECG) signal hence it is desirable to remove this noise for proper analysis and display of the ECG signal. This paper presents the implementation and evaluation of different methods to remove this noise. The parameters i.e. PRD & Mean are calculated of signals to compare the performance of different filtering methods. Wavelet Transform Method has been proved efficient method for the removal of Baseline wander from ECG signal. The results have been concluded using Matlab software and MIT-BIH arrhythmia database.