Empirical mode decomposition (EMD) accurately removed baseline wander in ECG signals, showing good performance compared to the traditional median filter.
Does empirical mode decomposition improve the accuracy of baseline wander removal in ECG recordings compared to a traditional median filter?
Empirical mode decomposition is an effective and accurate method for removing baseline wander during ECG pre-processing.
The removal of baseline wander (BW) is a very important step in the pre-processing stage of electrocardiogram (ECG). Thus, a method for accurate removing the baseline wander (BW) in ECG on the basis of empirical mode decomposition (EMD) is proposed in this paper. We briefly described the principles and characteristics of the EMD in Section II. To validate the proposed method, the recording from MIT/BIH database is used. In this paper, the traditional median filter is also applied to remove BW in ECG for comparison with our EMD method. Our experimental results show that the performance of EMD method is very good and accurate in removing BW in ECG.
Na et al. (Mon,) conducted a other in Baseline wander in ECG. Empirical mode decomposition (EMD) vs. Traditional median filter was evaluated on Removal of baseline wander (BW) in ECG. Empirical mode decomposition (EMD) accurately removed baseline wander in ECG signals, showing good performance compared to the traditional median filter.