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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Detalhes bibliográficos
Publicado no:BMC Med Inform Decis Mak
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7739462/
https://ncbi.nlm.nih.gov/pubmed/33323112
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01329-1
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