Why the study?
A lack of well-structured and standardized datasets with specific benchmarks limits the development of deep learning solutions for EEG denoising.
Population
4514 clean EEG segments, 3400 ocular artifact segments, and 5598 muscular artifact segments
Comparison
Four classical networks evaluated for denoising performance
Design
Benchmark dataset creation and model evaluation study
Authors
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EEGdenoiseNet supplies a standardized benchmark for DL-based EEG denoising; leaves open validation in clinical neurophysiology applications.
The introduction of EEGdenoiseNet provides a standardized benchmark dataset to accelerate the development of deep learning-based EEG denoising models.
Zhang et al. (2021) studied this question.
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