The Application of Empirical Mode Decomposition in Elimination of ECG contamination from EMG signals

EMG signals collected from the trunkmusculature are often contaminated with the heart muscleelectrical activity (ECG). This paper introduces a novelmethod, the Empirical Mode Decomposition, for elimination ofECG contamination from EMG signals. The method iscompared to a Butterworth high pass filtering. Results obtainedfrom the analysis of generated and experimental EMG signalsshow that our method outperforms the high pass filtering forelimination of ECG contamination from trunk EMG signals.