An automatic apnea screening algorithm for children
作者：
Highlights：
• We showed empirically that screening models have low performance on children data.
• We achieved a model for apnea screening in children.
• We discover that no signal alone is a good classifier for sleep apnea in children.
• We discover three signals are the best for screening (none of these reported before).
• Our algorithm uses less information than a polysomnography.
摘要
•We showed empirically that screening models have low performance on children data.•We achieved a model for apnea screening in children.•We discover that no signal alone is a good classifier for sleep apnea in children.•We discover three signals are the best for screening (none of these reported before).•Our algorithm uses less information than a polysomnography.
论文关键词：Screening algorithms,Apnea classification,Apnea screening,Ubiquitous health system,00-01,99-00
论文评审过程：Received 6 April 2015, Revised 17 November 2015, Accepted 19 November 2015, Available online 2 December 2015, Version of Record 17 December 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.013
