多导睡眠图
睡眠开始
睡眠(系统调用)
组内相关
睡眠阶段
医学
睡眠起始潜伏期
慢波睡眠
心理学
物理疗法
麻醉
失眠症
脑电图
心理测量学
精神科
计算机科学
呼吸暂停
操作系统
临床心理学
作者
Haodong Zhang,Yan Yan,Mengyuan Kang,Xiaojun Fan,Paweł Wargocki,Li Lan
出处
期刊:Environmental science and engineering
日期:2023-01-01
卷期号:: 2099-2102
标识
DOI:10.1007/978-981-19-9822-5_223
摘要
As an alternative to Polysomnography (PSG), Fitbit Alta HR (Fitbit) could provide an easier way to monitor sleep. Since the accuracy of Fitbit sleep monitoring is unknown, this study was conducted to compare the sleep monitoring performance of Fitbit and PSG. Nine healthy young adults (5 males and 4 females; 24 ± 2 years old; Pittsburgh Sleep Quality Index < 5) were tested on three nights with different environmental conditions (different sleep measurements were detected by PSG). Paired T-test and Intraclass Correlation Coefficients (ICC) were performed for discrepancy and agreement analysis for sleep measurements. Results showed that the agreement between PSG and Fitbit was excellent for Total Recording Time (TRT, ICC = 0.901), moderate for Total Sleep Time (TST, ICC = 0.721) and Sleep Onset Latency (SOL, ICC = 0.622), close to moderate for Sleep Efficiency (SE, ICC = 0.443) and Wake after Sleep Onset (WASO, ICC = 0.466), poor for Number of Awakenings (NOA, ICC = 0.185), REM Sleep (ICC = 0.085), Light Sleep (ICC = 0.177) and Deep Sleep (ICC = 0.054). The present results indicated that Fitbit showed promise in measuring TRT, TST, SE, SOL and WASO, but had a poor performance in sleep staging for monitoring sleep of young adults.
科研通智能强力驱动
Strongly Powered by AbleSci AI