Independent spatial patterns: an integration of common spatial patterns with independent component analysis for multi- class discrimination in EEG based brain-computer interfaces

Springer Science and Business Media LLC - Tập 11 - Trang 1-2 - 2010
Muhammad Naeem1, David Watson1, Girijesh Parasad1
1Intelligent Systems Research Centre, University of Ulster, Londonderry, UK

Tài liệu tham khảo

Naeem M, Brunner C, Pfurtscheller G: Dimensional reduction and channel selection of motor imagery EEG data. Comput Intell Neurosci. 2009, . Naeem M, Brunner C, Leeb R, Graimann B, Pfurtscheller G: Separability of four-class motor imagery data using independent components analysis. JNE. 2006, 3: 208-216. Grosse-Wentrup M, Buss M: Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction. IEEE Trans. Biomed. Eng. 2008, 55 (8). Pfurtscheller G, Brunner C, Schloegl A, Lopes DaSilva F H: Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks. Neuroimage. 2006, 31: 153-9. 10.1016/j.neuroimage.2005.12.003. Parra L C, Spence C D, Gerson A D, Sajda P: Recipes for the linear analysis of EEG. NeuroImage. 2005, 28: 326-341. 10.1016/j.neuroimage.2005.05.032. Bell A J, Sejnowski T J: An information-maximization Approach to blind separation and blind de-convolution. Neural. Comput. 1995, 7: 1129-59. 10.1162/neco.1995.7.6.1129.