Kawamura Aoi, Yoshiike Takuya, Matsuo Masahiro, Kadotani Hiroshi, Oike Yuki, Kawasaki Midori, Kurumai Yuichi, Nagao Kentaro, Takami Masanori, Yamada Naoto, Kuriyama Kenichi
Department of Psychiatry, Shiga University of Medical Science, Otsu, Japan.
Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8551 Japan.
Sleep Biol Rhythms. 2022 Aug 26;21(1):85-95. doi: 10.1007/s41105-022-00421-5. eCollection 2023 Jan.
Automatic algorithms are a proposed alternative to manual assessment of polysomnography data for analyzing sleep structure; however, none are acceptably accurate for clinical use. We investigated the feasibility of an automated sleep stage scoring system called Sleep Scope, which is intended for use with portable 1-channel electroencephalograph, and compared it with the traditional polysomnography scoring method. Twenty-six outpatients and fourteen healthy volunteers underwent Sleep Scope and polysomnography assessments simultaneously. Polysomnography records were manually scored by three sleep experts. Sleep Scope records were scored using a dedicated auto-staging algorithm. Sleep parameters, including total sleep time, sleep latency, wake after sleep onset, and sleep efficiency, were calculated. The epoch-by-epoch pairwise concordance based on the classification of sleep into five stages (i.e., wake, rapid eye movement, N1, N2, and N3) was also evaluated after validating homogeneity and bias between Sleep Scope and polysomnography. Compared with polysomnography, Sleep Scope seemed to overestimate sleep latency by approximately 3 min, but there was no consistent tendency in bias in other sleep parameters. The values ranged from 0.66 to 0.75 for experts' inter-rater polysomnography scores and from 0.62 to 0.67 for Sleep Scope versus polysomnography scores, which indicated sufficient agreement in the determination of sleep stages based on the Landis and Koch criteria. We observed sufficient concordance between Sleep Scope and polysomnography despite lower concordance in sleep disorder patients. Thus, this auto-staging system might serve as a novel clinical tool for reducing the time and expenses required of medical staff and patients.
The online version contains supplementary material available at 10.1007/s41105-022-00421-5.
自动算法是用于分析睡眠结构的多导睡眠图数据人工评估的一种替代方案；然而，目前还没有一种算法在临床应用中具有可接受的准确性。我们研究了一种名为Sleep Scope的自动睡眠阶段评分系统的可行性，该系统旨在与便携式单通道脑电图仪配合使用，并将其与传统的多导睡眠图评分方法进行比较。26名门诊患者和14名健康志愿者同时接受了Sleep Scope和多导睡眠图评估。多导睡眠图记录由三位睡眠专家进行人工评分。Sleep Scope记录使用专用的自动分期算法进行评分。计算了包括总睡眠时间、睡眠潜伏期、睡眠开始后觉醒时间和睡眠效率在内的睡眠参数。在验证了Sleep Scope和多导睡眠图之间的同质性和偏差后，还评估了基于将睡眠分为五个阶段（即清醒、快速眼动、N1、N2和N3）的逐段逐对一致性。与多导睡眠图相比，Sleep Scope似乎将睡眠潜伏期高估了约3分钟，但在其他睡眠参数的偏差方面没有一致的趋势。专家之间的多导睡眠图评分的κ值范围为0.66至0.75，Sleep Scope与多导睡眠图评分的κ值范围为0.62至0.67，这表明根据Landis和Koch标准在睡眠阶段的判定上有足够的一致性。尽管睡眠障碍患者的一致性较低，但我们观察到Sleep Scope和多导睡眠图之间有足够的一致性。因此，这种自动分期系统可能成为一种新的临床工具，以减少医务人员和患者所需的时间和费用。
在线版本包含可在10.1007/s41105-022-004见的补充材料。 5-022-00421-5获取的补充材料。
