Sadeh A, Sharkey K M, Carskadon M A
E. P. Bradley Hospital/Brown University, East Providence, Rhode Island.
Sleep. 1994 Apr;17(3):201-7. doi: 10.1093/sleep/17.3.201.
The effects of actigraph placement and device sensitivity on actigraphic automatic sleep-wake scoring were assessed using concomitant polysomnographic and wrist actigraphic data from dominant and nondominant hands of 20 adults and 16 adolescents during 1 laboratory night. Although activity levels differed between dominant and nondominant wrists during periods of sleep (F = 4.57; p < 0.05) and wake (F = 15.5; p < 0.0005), resulting sleep-wake scoring algorithms were essentially the same and were equally explanatory (R2 = 0.64; p < 0.0001). When the sleep-wake scoring algorithm derived from the nondominant hand was used to score the nondominant data for sleep-wake, overall agreement rates with polysomnography scoring ranged between 91 and 93% for the calibration and validation samples. Results obtained with the same algorithm for the dominant-wrist data were within the same range. Agreement for sleep scoring was consistently higher than for wake scoring. Statistical manipulation of activity levels before applying the scoring algorithm indicated that this algorithm is quite robust toward moderate changes in activity level. Use of "twin-wrist actigraphy" enables identification of artifacts that may result from breathing-related motions.
利用20名成年人和16名青少年在1个实验室夜晚期间优势手和非优势手的同步多导睡眠图和腕部活动记录仪数据，评估了活动记录仪放置位置和设备灵敏度对活动记录仪自动睡眠-觉醒评分的影响。尽管在睡眠（F = 4.57；p < 0.05）和清醒（F = 15.5；p < 0.0005）期间优势腕和非优势腕的活动水平存在差异，但由此得出的睡眠-觉醒评分算法基本相同且具有同等的解释力（R2 = 0.64；p < 0.0001）。当使用从非优势手得出的睡眠-觉醒评分算法对非优势手的数据进行睡眠-觉醒评分时，校准样本和验证样本与多导睡眠图评分的总体一致率在91%至93%之间。使用相同算法对优势腕数据得出的结果也在同一范围内。睡眠评分的一致性始终高于觉醒评分。在应用评分算法之前对活动水平进行统计处理表明，该算法对活动水平的适度变化具有很强的稳健性。使用“双腕活动记录仪”能够识别可能由呼吸相关运动导致的伪迹。
