EEG Denoising

2 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising

ncclabsustech/EEGdenoiseNet 24 Sep 2020

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.

Embedding Decomposition for Artifacts Removal in EEG Signals

ncclabsustech/deepseparator 2 Dec 2021

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.