Browsing by Subject "Electroencephalography (EEG)"
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Item An EEG feature selection toolbox for EEGLAB in the matlab environment(2011-08) Kerr, Andy S; Baker, Mary C.; Pal, RanadipA complete system is proposed to generate features from raw EEG data and qausi-optimally reduce the feature set based on classification rates. Several default features are included for generating feature sets, and the feature set is qausi-optimally reduced using stepwise regression algorithms based on the classification of known classes. A plug-in known as the Feature Selection Toolbox was developed for the open source EEGLAB toolbox within the MATLAB environment to accomplish the goals of this thesis. Synchrony measures of the EEG are becoming more common as a means to establish network links and general comparisons of different areas of the brain. The four default features included in the Feature Selection Toolbox are average power, correlation coefficient, magnitude squared coherence, and phase synchrony index. An exhaustive search is impractical in finding an optimal subset of features as the computational time increases exponentially with the number of desired features in the optimal subset. Three stepwise regression feature selection algorithms are implemented to select the near optimal feature subset with a nearly linear increase in computational time as the maximum number of selected features increases. An example study comparing Alzheimer's Disease to Mild Cognitive Impairment and controls demonstrates the usefulness of the tools developed as part of this thesis. Also, the tradeoffs of different options in the Feature Selection Toolbox are assessed from the results of the algorithm in classifying the responses of individuals to two different cognitive tasks, one involving visual stimulus and counting, the other involving visual stimulus and spatial reasoning.