Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea

	Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea
	Sandeep Pirbhulal; Heye Zhang; Wanqing Wu; Lin Xu; Yuan-Ting Zhang
刊名	Neuropsychiatry
	2017
文献子类	期刊论文
英文摘要	Objective: Obstructive sleep apnea (OSA) associated health problems are undiagnosed due to the expensive and realistic limitations of overnight PSG examination. In this research, an accurate and resource-efficient biometric index is proposed for remote monitoring of the OSA patients having universal property at all body postures. Methods: In this study, the analysis of 44 subjects determines that the Heart Rate Variability (HRV) parameters including time and frequency domains such as ratio of Standard Deviation of NN interval (SDNN) and Root-Mean-Squared of the Successive Differences (RMSSD), termed as SRR; and LHR (ratio between normalized Low to High-Frequency power) can be taken into consideration to develop reasonable accurate and cost-efficient indexes for OSA levels measurement.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12618]
专题	深圳先进技术研究院_数字所
作者单位	Neuropsychiatry
推荐引用方式 GB/T 7714	Sandeep Pirbhulal,Heye Zhang,Wanqing Wu,et al. Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea[J]. Neuropsychiatry,2017.
APA	Sandeep Pirbhulal,Heye Zhang,Wanqing Wu,Lin Xu,&Yuan-Ting Zhang.(2017).Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea.Neuropsychiatry.
MLA	Sandeep Pirbhulal,et al."Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea".Neuropsychiatry (2017).