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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...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Nikkonen, Sami, Afara, Isaac O., Leppänen, Timo, Töyräs, Juha
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2019
主題:
オンライン・アクセス: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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