Comparative study of Empirical Mode Decomposition applied in experimental biosignals

Electrocardiogram is a widely used biosignal for diagnosis of pathological situation concerning heart function. Interpretation and analysis of this signal is critical for the selection of the appropriate treatment and this highlights the necessity for clean signals without any kind of artifacts. Several methods have been developed in order to remove artifacts and delineate the characteristics of the ECG that physicians need to evaluate. In this paper, Empirical Mode Decomposition (EMD) is considered and the application of the decomposition method in experimental signals acquired by means of a wireless sensor network is evaluated. The proposed technique is based on the EMD and is studied comparatively to classic techniques of signal processing. Certain metrics are implemented to evaluate the performance of the technique and the results show good results of the EMD based method.