Towards Domain Free Transformer for Generalized EEG Pre-training
A Python package that can identify artifacts in sleep EEG signals automatically and detect data usability for sleep autoscoring using a machine learning model
Multichannel Sleep Spindle Detector for sleep EEG
Sleep EEG Event Detector (SEED) model, a deep learning-based detector of sleep spindles and K-complexes
A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization through Proximity-to-Boundary Scoring
Automated Sleep Stage Scoring using Deep Learing
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