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Performance of CLEEGN against the training data length per subject evaluated by the BCI-ERN dataset on (a) the fitness to the reference data; and (b) the decoding performance.

Performance of CLEEGN against the training data length per subject evaluated by the BCI-ERN dataset on (a) the fitness to the reference data; and (b) the decoding performance.

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Figure 1: Illustration of the proposed CLEEGN model architecture and...
Figure 3: Objective EEG quality assessment of the reconstructed EEG...
Figure 5: Visualization of raw (gray), reference (red), CLEEGN (blue)...
Figure 6: (a) Overall fitness of the CLEEGN model across types of...
+7 Figure 7: Performance of CLEEGN against the training data length per...
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
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  • Oct 2022
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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