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- W2745526911 abstract "The aim of the article is to provide a systematic presentation of basic tools that are most commonly used to analyze electroencephalography signals (EEG) in brain–computer interfaces for detection of steady-state visually evoked potentials (SSVEP). We use a database of EEG signals containing SSVEP and demonstrate the desirability of the use of selected methods, showing their benefits. Methods such as independent components analysis (ICA), frequency analysis (DFT), and time-frequency analysis (STFT) are presented. For SSVEP, the features of EEG signal should be stable with time. Short-Time Fourier Transform (STFT) allows to confirm this stability. Independent Component Analysis is used to extract pure SSVEP components. The advantages of each method are described and the obtained results are discussed. Further, source location by the use of low-resolution electromagnetic tomography algorithm is demonstrated." @default.
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- W2745526911 date "2017-08-20" @default.
- W2745526911 modified "2023-10-18" @default.
- W2745526911 title "Processing and Analysis of EEG Signal for SSVEP Detection" @default.
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- W2745526911 doi "https://doi.org/10.1007/978-3-319-66905-2_1" @default.
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