Model-Based ECG Denoising Using Empirical Mode Decomposition

In this paper, a novel scheme for electrocardiogram (ECG)denoising is presented based on ECG dynamic model and empirical mode decomposition (EMD). Firstly,we pre-filter the noisy ECG by making the model fit it in the MMSE sense, in order to preserve the important morphological features, especially the QRS complex. After that, the model is subtracted from the noisy ECG, and the residual signal is then decomposed using EMD and denoised by discarding the noise components from the decomposition results. Finally, the resultant ECG is obtained by combining the model and the denoised residue. Experiments conducted on both real and synthetic ECG data have demonstrated that the proposed method is a superior tool for ECG denoising.