Removal of artifacts in ECG using Empirical mode decomposition

The Electrocardiogram (ECG) signal is the electrical manifestation of the contractile activity of the heart and helps the physicians to interpret any physiological or pathological phenomena. The ECG recording is often deteriorated by several factors such as power line interference and baseline wander noise. These noises have to be removed for better clinical evaluation. The power line interference is cancelled by passing the first IMF of the Empirical mode decomposed (EMD) noisy signal through FIR low pass filter. In this paper a new strategy is proposed to remove baseline wander noise. The proposed method is evaluated over MIT-BIH ECG database in terms of visual inspection and qualitatively by root mean square error (RMSE). Finally the results are compared with the FIR filtering method.