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

Abstract 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. Method...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Meihong Yang, Jingshan Huang
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2020-12-01
Serija:	BMC Medical Informatics and Decision Making
Teme:	Sleep apnea Obstructive sleep apnea syndrome SpO2 Support vector machine
Online dostop:	https://doi.org/10.1186/s12911-020-01329-1
Oznake:	Označite Brez oznak, prvi označite!