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A deep learning-based algorithm for detection of cortical arousal during sleep
STUDY OBJECTIVES: The frequency of cortical arousals is an indicator of sleep quality. Additionally, cortical arousals are used to identify hypopneic events. However, it is inconvenient to record electroencephalogram (EEG) data during home sleep testing. Fortunately, most cortical arousal events are...
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| Publicado no: | Sleep |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7734480/ https://ncbi.nlm.nih.gov/pubmed/32556242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/sleep/zsaa120 |
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