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A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data
Sleep disturbances are common in Alzheimer’s disease and other neurodegenerative disorders, and together represent a potential therapeutic target for disease modification. A major barrier for studying sleep in patients with dementia is the requirement for overnight polysomnography (PSG) to achieve f...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8151443/ https://ncbi.nlm.nih.gov/pubmed/34064694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21103316 |
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