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Overall process of EEG signal classification. In feature extraction, GAFDS and extraction methods are used for nonlinear features; a genetic algorithm is used to optimize the selection of the features. The classifiers used for analysis include the k-nearest neighbor, linear discriminant analysis, decision tree, AdaBoost, multilayer perceptron, and Naïve Bayes. EEG = electroencephalogram, GAFDS = genetic algorithm-based frequency-domain feature search.
