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  • EEG signal classification using PCA, ICA, LDA and support vector machines

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    EEG signal classification using PCA, ICA, LDA and support vector machines Abstract-In this work, we proposed a versatile signal processing and analysis framework for Electroencephalogram (EEG). Within this framework the signals were decomposed into the frequency sub-bands using DWT and a set of statistical features was extracted from the sub-bands to represent the distribution of…

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