The Independent component analysis (ICA) in Blind source separation (BSS) is introduced. A fast ICA algorithm is proposed. In contrast to most blind source separation algorithms, the method does not need to calculate higher order statistics. A pre-whiten procedure is performed to de-correlating the sensor signals before extracting vector. The proposed method is used to remove the ECG artifacts from clinical EEG signals successfully.
CITATION STYLE
Zhou, W. (2002). Removal of ECG artifacts from EEG using ICA. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 1, pp. 206–207). https://doi.org/10.1109/iembs.2002.1134458
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