Creation of new EEG training by introduction of noise

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Title: Creation of new EEG training by introduction of noise
Bci arch.png

Image:Bci_arch.png

Description: A Brain-Computer Interface (BCI) must be trained on the individual user in order to be effective. This training phase require recording data in long sessions, which is time consuming and boring for the user. The aim of this project is to develop algorithm to create new training EEG (electroencephalography) data from existing ones, so as to speed up the training phase.
Tutor: MatteoMatteucci (matteo.matteucci@polimi.it), BernardoDalSeno (bernardo.dalseno@polimi.it)
Start: 2009/10/01
Students: 1 - 2
CFU: 5 - 20
Research Area: BioSignal Analysis
Research Topic: Brain-Computer Interface
Level: Bs, Ms
Type: Course, Thesis
Status: Active
Tools and instruments
Matlab, BCI2000
Knowledge of C++ may be useful
EEG system
Bibliography
J.R. Wolpaw et al. Brain-computer interfaces for communication and control [1]