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Automatic Human Sleep Stage Scoring Using Deep Neural Networks
The classification of sleep stages is the first and an important step in the quantitative analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual pattern recognition by a human expert and is time consuming and subjective. Thus, there is a need for automatic classificati...
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| Autores principales: | , , , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2018-11-01
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| Colección: | Frontiers in Neuroscience |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/article/10.3389/fnins.2018.00781/full |
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