Signal Denoising by Empirical Mode Decomposition

The ECG is an important clinical tool to diagnose or to monitor various cardiac diseases. Like other electrical signals, the ECG signal also corrupted by various kinds of noise or artifacts which affect diagnosis interpretation and leads to erroneous results. In order to diagnose a cardiac abnormality, an accurate and noiseless ECG signal is required. In this paper, a denoising algorithm based on Empirical Mode Decomposition (EMD) has been proposed. The performance of present algorithm has been compared with other established denoising methods. The comparison has been performed on the basis of statistical tools and morphological study of the signals. The obtained results show that the present algorithm performs better than other denoising techniques.