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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Detalles Bibliográficos
Autores principales: Nikkonen, Sami, Afara, Isaac O., Leppänen, Timo, Töyräs, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744469/
https://www.ncbi.nlm.nih.gov/pubmed/31519927
http://dx.doi.org/10.1038/s41598-019-49330-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744469/
https://www.ncbi.nlm.nih.gov/pubmed/31519927
http://dx.doi.org/10.1038/s41598-019-49330-7

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