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• W2171101497 abstract "The detection of Steady-State Visual Evoked Potential (SSVEP) responses in the Electroencephalogram (EEG) is a current challenge in signal processing applied on Brain-Computer Interfaces (BCI). BCI based on SSVEP requires visual stimuli. When these stimuli are displayed on an LCD screen, the number of frequencies for flickering object on the screen is limited. We propose to extend the number of frequencies by composing different visual patterns. We evaluate the relationship in the frequency domain between the visual stimuli and the recorded EEG signal. The signal detection across seven types of SSVEP responses is achieved by considering spatial filters based on the generalized Rayleigh quotient. The mean detection accuracy across three subjects is 89.58%." @default.
• W2171101497 created "2016-06-24" @default.
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• W2171101497 date "2011-05-01" @default.
• W2171101497 modified "2023-09-25" @default.
• W2171101497 title "Effect of the visual signal structure on Steady-State Visual Evoked Potentials detection" @default.
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• W2171101497 doi "https://doi.org/10.1109/icassp.2011.5946489" @default.
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