Faculty of Applied Science, Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
Department of Pediatrics, BC Children's Hospital Interdisciplinary Sleep Medicine, University of British Columbia, Vancouver, Canada.
J Neurotrauma. 2024 Aug;41(15-16):1827-1841. doi: 10.1089/neu.2023.0526. Epub 2024 Jun 27.
Sleep disturbances following a concussion/mild traumatic brain injury are associated with longer recovery times and more comorbidities. Sensor technologies can directly monitor sleep-related physiology and provide objective sleep metrics. This scoping review determines how sensor technologies are currently used to monitor sleep following a concussion. We searched Ovid (Medline, Embase), Web of Science, CINAHL, Compendex Engineering Village, and PsycINFO from inception to June 20, 2022, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for scoping reviews. Included studies objectively monitored sleep in participants with concussion. We screened 1081 articles and included 37 in the review. A total of 17 studies implemented polysomnography (PSG) months to years after injury for a median of two nights and provided a wide range of sleep metrics, including sleep-wake times, sleep stages, arousal indices, and periodic limb movements. Twenty-two studies used actigraphy days to weeks after injury for a median of 10 days and nights and provided information limited to sleep-wake times. Sleep stages were most reported in PSG studies, and sleep efficiency was most reported in actigraphy studies. For both technologies there was high variability in reported outcome measures. Sleep sensing technologies may be used to identify how sleep affects concussion recovery. However, high variability in sensor deployment methodologies makes cross-study comparisons difficult and highlights the need for standardization. Consensus on how sleep sensing technologies are used post-concussion may lead to clinical integration with subjective methods for improved sleep monitoring during the recovery period.
脑震荡/轻度创伤性脑损伤后睡眠障碍与更长的康复时间和更多的合并症有关。传感器技术可以直接监测与睡眠相关的生理状况并提供客观的睡眠指标。本范围综述确定了传感器技术目前如何用于监测脑震荡后的睡眠。我们按照系统评价和荟萃分析范围综述的首选报告项目，从创建到 2022 年 6 月 20 日，在 Ovid（医学文献在线，Embase）、Web of Science、CINAHL、Compendex Engineering Village 和 PsycINFO 中进行了搜索。纳入的研究客观地监测了脑震荡参与者的睡眠。我们筛选了 1081 篇文章，纳入了 37 篇综述。共有 17 项研究在损伤后数月至数年进行了多导睡眠图（PSG），中位数为两个晚上，并提供了广泛的睡眠指标，包括睡眠-觉醒时间、睡眠阶段、觉醒指数和周期性肢体运动。22 项研究在损伤后数天至数周内使用活动记录仪进行，中位数为 10 天和晚上，并提供了有限的睡眠-觉醒时间信息。PSG 研究中报告最多的是睡眠阶段，而活动记录仪研究中报告最多的是睡眠效率。这两种技术的报告结果指标都存在很大的变异性。睡眠感应技术可用于确定睡眠如何影响脑震荡康复。然而，传感器部署方法的高度可变性使得跨研究比较变得困难，并强调了标准化的必要性。就脑震荡后如何使用睡眠感应技术达成共识，可能会导致与主观方法的临床整合，从而在康复期间改善睡眠监测。
