Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System

Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System

Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes and test it on a Level IV-like monitoring system.Methods: Based on the physiological knowledge, we hypothesize that the phenotype information will allow us to find subjects...

Full description

Bibliographic Details
Main Authors: Hau-Tieng Wu, Jhao-Cheng Wu, Po-Chiun Huang, Ting-Yu Lin, Tsai-Yu Wang, Yuan-Hao Huang, Yu-Lun Lo
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Physiology
Subjects:
sleep apnea screening
Level IV-like monitoring
self-learning AI system
phenotype metric
inter-individual prediction
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.00723/full

Internet

https://www.frontiersin.org/article/10.3389/fphys.2018.00723/full

Similar Items