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Investigation of the diagnosis of human brain through the electroencephalograph (EEG) is an important application of EEG signals. While automated techniques exist for EEG analysis, it is likely that additional information can be extracted from EEG signals through the use of new methods. In this paper, we propose a method that applies artificial neural networks approach for identification of the inactive...
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