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Anomalous pattern based clustering of mental tasks with subject independent learning : some preliminary results
In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject. This method applies to the power spectrum ...
A method for classifying mental tasks in the space of EEG transforms
In this article we describe a new method for supervised classification of EEG signals. This method applies to the power spectrum density data and assigns class-dependent information weights to individual pixels, so that ...