CleanEEG: A U-Net based deep learning framework for robust EEG artifact removal
High-frequency oscillations (HFOs) are vital biomarkers for identifying the seizure onset zone (SOZ) in patients with drug-resistant epilepsy (DRE). However, EEG artifacts especially muscle and power-line noise overlapping with the HFO frequency range (80–250 Hz) pose significant challenges for accu...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2026-03-01
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| Серии: | Neuroscience Informatics |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2772528626000087 |
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