EEG Artifact Removal
3 papers with code • 1 benchmarks • 1 datasets
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Benchmarks
These leaderboards are used to track progress in EEG Artifact Removal
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CWL EEG/fMRI Dataset
Most implemented papers
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
We show that the proposed technique can be used as a generalized model for iEEG artifact detection.
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Electroencephalography (EEG) signals are often contaminated with artifacts.
NEAR - Newborns EEG Artifact Removal
We propose Newborn EEG Artifact Removal (NEAR), a pipeline for EEG artifact removal designed explicitly for human newborns.
