EEG Denoising

Benchmarks archive 2025-07-28

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising
  24 Sep 2020 2 repositories listed
  Here, we present EEGdenoiseNet, a benchmark EEG dataset that is suited for training and testing deep learning-based denoising models, as well as for performance comparisons across models.
• EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
  20 Mar 2024 1 repository listed
  Electroencephalogram (EEG) signals play a pivotal role in clinical medicine, brain research, and neurological disease studies.
• DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
  27 Nov 2023 1 repository listed
  Finally, a Decoder layer is employed to reconstruct the artifact-reduced EEG signal.
• Embedding Decomposition for Artifacts Removal in EEG Signals
  2 Dec 2021 1 repository listed
  DeepSeparator employs an encoder to extract and amplify the features in the raw EEG, a module called decomposer to extract the trend, detect and suppress artifact and a decoder to reconstruct the denoised signal.
• Improved robust weighted averaging for event-related potentials in EEG
  18 Sep 2019 1 repository listed
  The areas of improvement include significantly lower averaging error (45% lower RMSE and 37% lower maximum difference than for original implementation) and increased robustness to local minima, strong outliers and…