• IEEE Trans Neural Syst Rehabil Eng · Jun 2006

    Geometric subspace methods and time-delay embedding for EEG artifact removal and classification.

    • Charles W Anderson, James N Knight, Tim O'Connor, Michael J Kirby, and Artem Sokolov.
    • Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA. anderson@cs.colostate.edu
    • IEEE Trans Neural Syst Rehabil Eng. 2006 Jun 1; 14 (2): 142-6.

    AbstractGeneralized singular-value decomposition is used to separate multichannel electroencephalogram (EEG) into components found by optimizing a signal-to-noise quotient. These components are used to filter out artifacts. Short-time principal components analysis of time-delay embedded EEG is used to represent windowed EEG data to classify EEG according to which mental task is being performed. Examples are presented of the filtering of various artifacts and results are shown of classification of EEG from five mental tasks using committees of decision trees.

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