In this work, we apply the independent component analysis (ICA) on the extraction of artifacts from the electrocardio-graphic (ECG) signals. ECG analysis is not an easy task when artifacts (electrodes, muscle, breathing, etc) corrupts the ECG, hiding important information. If the mixed signals in the ECG recordings (heart signal and artifacts) are statistically independent, the ICA can blindly ...