摘要
Abstract
[Objective]To explore the accuracy of sleep detection by smartwatch and the consistency with polysomnography(PSG)results.[Methods]The Alice PDx portable polysomnography and smartwatch were used to monitor the sleep of 15 healthy adults at the same time,and the statistical intraclass correlation efficient(ICC),Bland-Altman plots and t-tests were analyzed.[Results]The ICC of sleep staging percentage(light sleep,deep sleep and REM stage)of both PSG and smartwatch was less than 0.2,and the ICC of sleep staging duration(nocturnal wakefulness,light sleep,deep sleep,REM and sleep duration)varied greatly,with the consistency of sleep duration being higher and deep sleep duration not indicating significant consistency.The light sleep percentage,deep sleep and REM percentage of difference means were 0.16,-0.12,and-0.05,respectively;the difference means of sleep duration,wakefulness duration,light sleep duration,deep sleep duration,and REM duration were-0.44,0.35,0.81,-0.89,and-0.37,respectively;the difference means of the time point of falling asleep and wakefulness were 0.01 and-0.08,respectively.The differences of smartwatch versus PSG polysomnography in the light-sleep duty ratio,deep sleep percentage,REM percentage,wakefulness duration,light sleep duration,deep sleep duration,REM duration and sleep duration were statistically significant(P<0.05),and the differences at the time point of falling asleep and wakefulness were not statistically significant(P>0.05).The accuracy of the smartwatch in the wakefulness,light sleep,deep sleep and REM phases were 12.82%,51.69%,57.61%and 33.93%,respectively,with an overall accuracy of 46.91%.[Conclusion]The smartwatch has good consistency with PSG at the point of sleep onset and wakefulness,poor consistency in sleep staging percentage,high accuracy in light and deep sleep stages,which can basically satisfy the needs of home sleep staging monitoring,and provide a reference for the use of smartwatches and performance enhancement.关键词
睡眠医学/智能手表/睡眠检测/睡眠分期/多导Key words
sleep medicine/smartwatch/sleep detection/sleep staging/polysomnography分类
医药卫生
