Training size predictably improves machine learning-based epileptic seizure forecasting from wearables
Objective: Wrist-worn wearable devices that monitor autonomous nervous system function and movement have shown promise in providing non-invasive, broadly applicable seizure forecasts that increase in accuracy with larger training size. Nevertheless, challenges related to missing validation, small nu...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-03-01
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| Col·lecció: | Neuroscience Informatics |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2772528624000293 |
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