Advanced techniques for classification of multi-channel EEG signals for brain computer interface /

Electroencephalogram (EEG) signal based research is ongoing for the development of simple, user friendly, robust, efficient brain computer interfacing (BCI) devices/systems. Motor imagery related EEG signal classification is one of the main challenges in designing of a BCI system. An advanced and si...

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Bibliographic Details
Main Author: Hasan, Mohammad Rubaiyat
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering, International Islamic University Malaysia, 2015
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Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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