Walia Harneet K, Mehra Reena
Sleep Disorders Center, Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States.
Sleep Disorders Center, Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States.
Handb Clin Neurol. 2019;160:371-379. doi: 10.1016/B978-0-444-64032-1.00024-2.
Actigraphy involves acquisition of data using a movement sensor worn continuously on the nondominant wrist, typically for a week or more. Computer-based algorithms estimate sleep episodes by analysis of continuous minutes of no to low movement, or spans of time when movement is relatively low compared with movements during presumed ambulatory wakefulness. Inherent advantages of actigraphy over polysomnography include its noninvasive nature, cost-effectiveness, lesser burden on patients/research participants, and ability to collect data over multiple days/nights, thereby allowing examination of sleep-wake patterning. Therefore, actigraphy is emerging as a common method to objectively assess sleep parameters providing estimates of sleep duration and continuity. Modes of actigraphy data collection, scoring algorithms, sleep quality/disturbance measures, validation studies, and clinical and research applications are discussed.
活动记录仪是通过佩戴在非优势手腕上的运动传感器持续采集数据,通常持续一周或更长时间。基于计算机的算法通过分析连续的无运动到低运动分钟数,或与假定的清醒活动期间的运动相比运动相对较低的时间段来估计睡眠阶段。活动记录仪相对于多导睡眠图的固有优势包括其非侵入性、成本效益、对患者/研究参与者的负担较小,以及能够在多个白天/夜晚收集数据,从而可以检查睡眠-觉醒模式。因此,活动记录仪正在成为一种客观评估睡眠参数以提供睡眠时间和连续性估计的常用方法。本文讨论了活动记录仪数据收集模式、评分算法、睡眠质量/干扰测量、验证研究以及临床和研究应用。