睡眠健康云平台智能监测分析系统的构建与评价  

Evaluation and construction of intelligent monitoring and analysis system for sleep health cloud platform

作　　者：张萍淑[1,2] 徐斌 马倩[1] 赵营 马英 李鑫[2] 苗铁军 元小冬 ZHANG Pingshu;XU Bin;MA Qian(Department of Neurology,Kailuan General Hospital,Tangshan 063000,China)

机构地区：[1]开滦总医院神经内科,河北唐山063000 [2]河北省神经生物机能重点实验室 [3]北京博实联创科技有限公司

出　　处：《中国健康心理学杂志》2022年第10期1481-1488,共8页China Journal of Health Psychology

基　　金：2020年河北省重点研发计划项目(编号:203777116D);2019年唐山市科学技术研究与发展计划项目(编号:19150256E);2020年河北省医学适用技术跟踪项目计划(编号:GZ2020002)。

摘　　要：目的:构建睡眠健康云平台智能监测分析系统(Sleep Intelligent monitoring and cloud platform system,SIMACPS),评价其临床应用有效性。方法:前瞻性连续收集2020年10月—2021年6月在开滦总医院神经内科睡眠监测室进行睡眠状态监测的志愿者59例,其中男35例、女24例,年龄44.2±20.6(21~83)岁。全部入选者均应用SIMACPS与“金标准”多导睡眠监测仪(Polysomnography,PSG)进行夜间22:00至次日6:00同步睡眠监测,分析两种监测方法主要技术指标结果的相关性、一致性,以及判断睡眠维持性困难、阻塞性睡眠呼吸暂停低通气综合征(obstructive sleep apnea hyponea syndrome,OSAHS)的准确度和特异度。结果:SIMACPS与PSG的主要监测指标中总记录时间、夜间总睡眠时间、睡眠潜伏期、NREM睡眠期时间、夜间睡眠全周期以及睡眠期平均心率,两组间均无差异性(P>0.05)。另外,两种方法监测结果的入睡后清醒时间、睡眠效率、快速眼动睡眠期时间(Rapid Eye Movement Sleep,REM)、浅睡眠期时间、浅睡眠期占比、深睡眠期占比、呼吸暂停低通气指数(apnea-hypopnea index,AHI)均有相关性(P<0.05)。以夜间睡眠总时间>7h、7h≥~>6h、6h≥~≥5h、5h>将睡眠维持性分为4等级,两种方法分类监测结果Kappa值为0.570(P<0.001)。以PSG夜间睡眠总时间≤6h为睡眠维持性困难诊断标准,SIMACPS的灵敏度为78.4%、特异度为90.9%;以PSG夜间睡眠总时间=7h为界值将其正常人群分为良好和尚可两层次等级,SIMACPS的灵敏度为70.0%、特异度为100.0%。以PSG夜间睡眠总时间=5h为界值将睡眠维持性困难人群分为不良和差两个层次等级,SIMACPS的灵敏度为60.0%、特异度为50.0%;但取约登指数最大时的最佳时间界点为5.08h时,此时灵敏度为64.0%、特异度为100.0%,一致性检验Kappa值为0.672(P<0.001)。以AHI正常、轻度、中度、重度4等级分类诊断OSAHS,两种方法分类监测结果Kappa值为0.400,P<0.001。以PSG�Objective:Building sleep intelligent monitoring and cloud platform system(simacps)to evaluate its clini-cal application effectiveness.Methods:A total of 59volunteers who monitored their sleep status in the sleep monito-ring room of the Department of Neurology of Kailuan general hospital from October 2020to June 2021were pro-spectively collected,including 35males and 24females,aged 44.2±20.6(21~83)years.All the participants used si-macps and"gold standard"polysomnography(PSG)to conduct synchronous sleep monitoring from 22:00at night to 6:00the next day.We analyzed the correlation and consistency of the main technical index results of the two monito-ring methods,and judged the difficulty of sleep maintenance,the accuracy and specificity of obstructive sleep apnea hypopnea syndrome(OSAHS).Results:In the main monitoring indexes of SIMACPS and PSG,there was no differ-ence in total recording time,total night sleep time,sleep latency,NREM sleep period,night sleep cycle and average heart rate during sleep between the two groups(P>0.05).In addition,the awake time after falling asleep,sleep effi-ciency,the time of rapid eye movement sleep(REM),the time of light sleep,the proportion of shallow sleep,the pro-portion of deep sleep and apnea hypopnea index(AHI)were correlated with each other(P<0.05).Sleep maintenance was divided into four grades according to the total sleep time at night>7h,7h≥~>6h,6h≥~≥5hand<5h.The kappa value of the two methods was 0.570,P<0.001.Taking the total night sleep time of PSG≤6hours as the di-agnostic standard of sleep maintenance difficulty,the sensitivity of SIMACPS was 78.4%and the specificity was 90.9%.According to the cut-off value of total night sleep time of PSG=7h,the normal population was divided into two levels:Good and acceptable,and the sensitivity and specificity of SIMACPS were 70.0%and 100.0%,respective-ly.People with sleep maintenance difficulties were divided into two levels:Poor and severe according to the cut-off value of the total sleep time of PSG at night=5hours.The s

关 键 词：睡眠智能监测系统 多导睡眠监测仪 睡眠状态 睡眠维持性困难 阻塞性睡眠呼吸暂停低通气综合征 

分 类 号：R395.9[哲学宗教—心理学]