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Fast Convolutional Method for Automatic Sleep Stage Classification
OBJECTIVES: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming. To overcome this problem, we developed a system t...
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| Publié dans: | Healthc Inform Res |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Korean Society of Medical Informatics
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6085207/ https://ncbi.nlm.nih.gov/pubmed/30109150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2018.24.3.170 |
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