Waki Mari, Nakada Ryohei, Waki Kayo, Ban Yuki, Suzuki Ryo, Yamauchi Toshimasa, Nangaku Masaomi, Ohe Kazuhiko
Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan.
JMIR Form Res. 2025 Jan 6;9:e63529. doi: 10.2196/63529.
The iAide2 (Tokai) physical activity monitoring system includes diverse measurements and wireless features useful to researchers. The iAide2's sleep measurement capabilities have not been compared to validated sleep measurement standards in any published work.
We aimed to assess the iAide2's sleep duration and total sleep time (TST) measurement performance and perform calibration if needed.
We performed free-living sleep monitoring in 6 convenience-sampled participants without known sleep disorders recruited from within the Waki DTx Laboratory at the Graduate School of Medicine, University of Tokyo. To assess free-living sleep, we validated the iAide2 against a second actigraph that was previously validated against polysomnography, the MotionWatch 8 (MW8; CamNtech Ltd). The participants wore both devices on the nondominant arm, with the MW8 closest to the hand, all day except when bathing. The MW8 and iAide2 assessments both used the MW8 EVENT-marker button to record bedtime and risetime. For the MW8, MotionWare Software (version 1.4.20; CamNtech Ltd) provided TST, and we calculated sleep duration from the sleep onset and sleep offset provided by the software. We used a similar process with the iAide2, using iAide2 software (version 7.0). We analyzed 64 nights and evaluated the agreement between the iAide2 and the MW8 for sleep duration and TST based on intraclass correlation coefficients (ICCs).
The absolute ICCs (2-way mixed effects, absolute agreement, single measurement) for sleep duration (0.69, 95% CI -0.07 to 0.91) and TST (0.56, 95% CI -0.07 to 0.82) were moderate. The consistency ICC (2-way mixed effects, consistency, single measurement) was excellent for sleep duration (0.91, 95% CI 0.86-0.95) and moderate for TST (0.78, 95% CI 0.67-0.86). We determined a simple calibration approach. After calibration, the ICCs improved to 0.96 (95% CI 0.94-0.98) for sleep duration and 0.82 (95% CI 0.71-0.88) for TST. The results were not sensitive to the specific participants included, with an ICC range of 0.96-0.97 for sleep duration and 0.79-0.87 for TST when applying our calibration equation to data removing one participant at a time and 0.96-0.97 for sleep duration and 0.79-0.86 for TST when recalibrating while removing one participant at a time.
The measurement errors of the uncalibrated iAide2 for both sleep duration and TST seem too large for them to be useful as absolute measurements, though they could be useful as relative measurements. The measurement errors after calibration are low, and the calibration approach is general and robust, validating the use of iAide2's sleep measurement functions alongside its other features in physical activity research.
iAide2(东海)身体活动监测系统包含多种测量方法及对研究人员有用的无线功能。在已发表的任何研究中,iAide2的睡眠测量能力均未与经过验证的睡眠测量标准进行比较。
我们旨在评估iAide2的睡眠时间和总睡眠时间(TST)测量性能,并在需要时进行校准。
我们对东京大学医学研究生院若木DTx实验室招募的6名无已知睡眠障碍的便利抽样参与者进行了自由生活睡眠监测。为评估自由生活睡眠,我们将iAide2与另一台已针对多导睡眠图进行过验证的活动记录仪MotionWatch 8(MW8;CamNtech有限公司)进行了对比验证。参与者将两台设备都佩戴在非优势手臂上,MW8离手更近,除洗澡外全天佩戴。MW8和iAide2的评估均使用MW8事件标记按钮记录就寝时间和起床时间。对于MW8,MotionWare软件(版本1.4.20;CamNtech有限公司)提供TST,我们根据该软件提供的入睡时间和睡眠结束时间计算睡眠时间。iAide2采用类似流程,使用iAide2软件(版本7.0)。我们分析了64个夜晚,并基于组内相关系数(ICC)评估了iAide2与MW8在睡眠时间和TST方面的一致性。
睡眠时间(0.69,95%CI -0.07至0.91)和TST(0.56,95%CI -0.07至0.82)的绝对ICC(双向混合效应,绝对一致性,单次测量)为中等。睡眠时间的一致性ICC(双向混合效应,一致性,单次测量)极佳(0.91,95%CI 0.86 - 0.95),TST的一致性ICC为中等(0.78,95%CI 0.67 - 0.86)。我们确定了一种简单的校准方法。校准后,睡眠时间的ICC提高到0.96(9