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EEG Artifact Removal

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Showing 1–8 of 8 papers

TitleStatusHype
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
NEAR - Newborns EEG Artifact RemovalCode1
Intracerebral EEG Artifact Identification Using Convolutional Neural NetworksCode0
Low-Rank + Sparse Decomposition (LR+SD) for EEG Artifact Removal—0
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning—0
Removal of Ocular Artifacts in EEG Using Deep Learning—0
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction—0
EEG Artifact Detection and Correction with Deep Autoencoders—0
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