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Improving classification of EEG signals for a four-state brain machine interface

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Bibliographic Details
Main Authors:	Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Abdul Hamid, Adom, Prof. Dr.
Other Authors:	hemacr@karpagam.ac.in
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:	Band power Brain machine interfaces Dynamic neural networks Neural networks Parseval theorem
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/27029
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