Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group.
Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group.
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DOI：
10.1093/sleep/21.7.759
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发表时间：
1998-11
期刊：
影响因子：
5.6
通讯作者：
S. Redline;M. Sanders;Bonnie K. Lind;S. Quan;C. Iber;D. Gottlieb;W. Bonekat;D. Rapoport;Philip L.
中科院分区：
文献类型：
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作者：
S. Redline;M. Sanders;Bonnie K. Lind;S. Quan;C. Iber;D. Gottlieb;W. Bonekat;D. Rapoport;Philip L.
本文回顾了为睡眠心脏健康研究获得全面的无人值守多导睡眠图数据而开发的数据收集、处理和分析方法，该研究是一项关于睡眠呼吸障碍对心血管后果的多中心研究。制定和实施协议是为了标准化家庭数据收集程序并执行集中睡眠评分。在对 6697 名参与者进行的 7027 项研究中，5534 项研究被确定为技术上可接受的（失败率为 5.3%）。质量等级随着时间的推移而变化，反映了不同的技术人员经验以及设备老化和改造的影响。 87% 的研究被认为质量“良好”或更好，75% 的研究被认为质量足以提供可靠的睡眠分期和唤醒数据。颏下肌电图（肌电图）不良在信号等级不良中所占比例最大（9% 的研究具有<2 小时无伪影肌电图信号）。这些数据表明，通过严格的培训和明确的数据收集和处理协议，可以为在研究环境中进行的大多数无人值守研究获得高质量的多通道多导睡眠图数据。最容易受到信号质量差影响的数据是需要清晰 EEG（脑电图）和 EMG 信号的睡眠分期和唤醒数据。
This paper reviews the data collection, processing, and analysis approaches developed to obtain comprehensive unattended polysomnographic data for the Sleep Heart Health Study, a multicenter study of the cardiovascular consequences of sleep-disordered breathing. Protocols were developed and implemented to standardize in-home data collection procedures and to perform centralized sleep scoring. Of 7027 studies performed on 6697 participants, 5534 studies were determined to be technically acceptable (failure rate 5.3%). Quality grades varied over time, reflecting the influences of variable technician experience, and equipment aging and modifications. Eighty-seven percent of studies were judged to be of "good" quality or better, and 75% were judged to be of sufficient quality to provide reliable sleep staging and arousal data. Poor submental EMG (electromyogram) accounted for the largest proportion of poor signal grades (9% of studies had <2 hours artifact free EMG signal). These data suggest that with rigorous training and clear protocols for data collection and processing, good-quality multichannel polysomnography data can be obtained for a majority of unattended studies performed in a research setting. Data most susceptible to poor signal quality are sleep staging and arousal data that require clear EEG (electroencephalograph) and EMG signals.