Webster J B, Kripke D F, Messin S, Mullaney D J, Wyborney G
Sleep. 1982;5(4):389-99. doi: 10.1093/sleep/5.4.389.
Wrist activity measured with a piezoceramic transducer was digitized and analyzed together with subjects' sleep/wake status to derive an optimal method for automatic computer sleep/wake scoring. Several algorithms for quantifying periods of activity were considered, and an algorithm that summed changes in activity level over a 2-s interval was found most sensitive. A computer program for scoring sleep/wake from the resulting digital activity records was then developed, and parameters derived by comparison with subjects' sleep/wake status as determined by EEG. EEG and activity sleep/wake scores agreed 94.46% of the time. A further prospective test of the automatic scoring system with new data yielded agreement of 96.02%. Finally, the data collection and recording functions were implemented in a wearable microprocessor-based digital activity monitor. The automatic scoring program was adjusted to use activity data collected by this monitor, and agreed 93.88% with EEG scoring. A prospective test with new data agreed 93.04% with EEG. Automatic scoring of activity data for sleep/wake is not only fast and accurate, but allows sleep to be monitored in non-laboratory situations. In addition, the score is objective and reliable, and free of scorer bias and drift.
用压电陶瓷传感器测量的手腕活动被数字化，并与受试者的睡眠/清醒状态一起进行分析，以得出一种自动计算机睡眠/清醒评分的最佳方法。考虑了几种量化活动周期的算法，发现一种在2秒间隔内对活动水平变化求和的算法最为敏感。然后开发了一个根据所得数字活动记录对睡眠/清醒进行评分的计算机程序，并通过与脑电图（EEG）确定的受试者睡眠/清醒状态进行比较得出参数。EEG和活动睡眠/清醒评分在94.46%的时间内一致。用新数据对自动评分系统进行的进一步前瞻性测试得出的一致率为96.02%。最后，数据收集和记录功能在基于可穿戴微处理器的数字活动监测器中实现。自动评分程序经过调整，以使用该监测器收集的活动数据，与EEG评分的一致率为93.88%。用新数据进行的前瞻性测试与EEG的一致率为93.04%。对睡眠/清醒的活动数据进行自动评分不仅快速准确，而且能够在非实验室环境中监测睡眠。此外，评分客观可靠，不存在评分者偏差和漂移。
