PLoS ONE volume 9, issue 6, Pe98450 2014 DOI: 10.1371/journal.pone.0098450 View full text
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Jakub Kuzilek, Vaclav Kremen, Filip Soucek, Lenka Lhotska

Abstract: We have developed a method focusing on ECG signal de-noising using Independent component analysis (ICA). This approach combines JADE source separation and binary decision tree for identification and subsequent ECG noise removal. In order to to test the efficiency of this method comparison to standard filtering a wavelet- based de-noising method was used. Freely data available at Physionet medical data storage were evaluated. Evaluation criteria was root mean square error (RMSE) between original ECG and filtere…

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