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Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea
The severity of obstructive sleep apnea (OSA) is classified using apnea-hypopnea index (AHI). Accurate determination of AHI currently requires manual analysis and complicated registration setup making it expensive and labor intensive. Partially for these reasons, OSA is a heavily underdiagnosed dise...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6744469/ https://ncbi.nlm.nih.gov/pubmed/31519927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-49330-7 |
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