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• W1569282408 abstract "A brain computer interface (or BCI) is a communication or control system which does not need any neuromuscular activity to produce a message or action. In this project, an SSVEP based BCI is used. This means that when the user concentrates on a LED, flickering with a certain frequency, the steady state visual evoked potential that is caused by this flickering and measured with EEG electrode Oz, will control the system. The amplitude of the SSVEP is expected to bedifferent in each subject. This inter subject difference motivatesfor BCI calibration, since a higher SSVEP amplitude implies a better performance of the BCI. The inter subject difference is investigatedin this project. Further, for calibration, it is convenient to use ashort (<10 min) calibration sequence, with which the SSVEP amplitudeis predicted. System identification techniques are used in this pro-cess. In this project, linear and nonlinear approaches are used to predict the SSVEP. The reliability of this prediction is investigated." @default.
• W1569282408 created "2016-06-24" @default.
• W1569282408 creator A5002740037 @default.
• W1569282408 creator A5049100531 @default.
• W1569282408 date "2009-09-01" @default.
• W1569282408 modified "2023-09-23" @default.
• W1569282408 title "Automatic Determination of the Optimum Stimulation Frequencies in an SSVEP based BCI" @default.
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