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- W2569596596 abstract "It is known that Electroencephalograph (EEG) signal shows specific responses according to the event (e.g. visual stimulus, cognition and motor imagery). Especially, by classifying short time EEG signal, features are used to control an electronic device (such system is called brain computer interface: BCI). In this study, we tried to construct SSVEP type EEG spelling system which uses response with cycle visual stimulus. Feature extraction methods from EEG signal during visual stimulus are discussed." @default.
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- W2569596596 date "2010-10-14" @default.
- W2569596596 modified "2023-09-27" @default.
- W2569596596 title "Feature extraction from EEG signals in SSVEP spelling system" @default.
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