1. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals;Barbati;Clinical Neurophysiology,2004
2. Cichocki, A., & Vorobyov, S. A. (2000). Application of ICA for automatic noise and interference cancellation in multisensory biomedical signals. In Proceedings of the second international workshop on independent component analysis and blind signal separation, (pp. 621–626)
3. EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis;Delorme;Journal of Neuroscience Methods,2004
4. Delorme, A., Makeig, S., & Sejnowski, T. (2001). Automatic artifact rejection for EEG data using high-order statistics and independent component analysis. In Proceedings of the 3rd international workshop on ICA, (pp. 457–462)
5. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis;Delorme;NeuroImage,2007