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In this paper, an attempt is made to classify the EEG signals of letter imagery tasks using a combined independent component analysis and probabilistic neu-ral network. The role of the principal/independent component analysis is to mitigate the effect of EOG arti-facts within each single-trial EEG pattern. Experimental results show an overall performance(More)
The METR technical reports are published as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this(More)
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