Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis

BACKGROUND: The breathing disorder obstructive sleep apnea syndrome (OSAS) only occurs while asleep. While polysomnography (PSG) represents the premiere standard for diagnosing OSAS, it is quite costly, complicated to use, and carries a significant delay between testing and diagnosis. METHODS: This...

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Detalles Bibliográficos
Autores principales: Ma, Bin, Wu, Zhaolong, Li, Shengyu, Benton, Ryan, Li, Dongqi, Huang, Yulong, Kasukurthi, Mohan Vamsi, Lin, Jingwei, Borchert, Glen M., Tan, Shaobo, Li, Gang, Yang, Meihong, Huang, Jingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739462/
https://www.ncbi.nlm.nih.gov/pubmed/33323112
http://dx.doi.org/10.1186/s12911-020-01329-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739462/
https://www.ncbi.nlm.nih.gov/pubmed/33323112
http://dx.doi.org/10.1186/s12911-020-01329-1

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