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Human electroencephalography (EEG) is a brain monitoring modality that senses cortical neuroelectrophysiological activity in high-temporal resolution. One of the greatest challenges posed in applications of EEG is the unstable signal quality susceptible to inevitable artifacts during recordings. To date, most existing techniques for EEG artifact re...
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... estimate the classification performance by calculating the score of Area Under the Curve (AUC) in ERN binary classification and Top-1 accuracy in the SSVEP task. Figure 3 is the schematic diagram of the process of decoding performance estimation using the reconstructed EEG data. The segmented EEG epochs are divided into three splits within each subject: training set, validation set, and test set. ...
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