Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study
Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study
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DOI：
10.3389/fnhum.2018.00452
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发表时间：
2018-11-26
影响因子：
2.9
通讯作者：
DeVos, Maarten
中科院分区：
文献类型：
--
作者：
Sterr, Annette;Ebajemito, James K.;DeVos, Maarten
脑电图（EEG）记录代表了睡眠生理学评估的重要组成部分，但目前使用的方法是昂贵的，侵入参与者，并在应用中费力。人们认识到需要开发更容易应用但可靠的EEG系统，其允许理想地远离实验室环境的睡眠-觉醒EEG的不引人注目的长期记录。cEEGrid是最近开发的柔性印刷的耳周电极阵列，其在睡眠-觉醒监测研究中具有巨大的潜力。它穿着舒适，应用简单，在睡眠期间干扰最小。此外，它可以与智能手机控制的小型化放大器相结合，并且完全便携。对cEEGrid作为运动耐受设备的评估正在进行中，但初步研究结果清楚地表明，它非常适合认知研究。本研究旨在通过测试cEEGrid数据是否提供睡眠阶段评分所需的信号质量和特征，探索cEEGrid对睡眠研究的适用性。在一个经过认证的睡眠实验室中，同时采集了来自cEEGrid和标准PSG系统的睡眠数据。20名参与者记录了一次延长的夜间睡眠机会。15个数据集手动评分。然后提取与睡眠维持和睡眠结构相关的睡眠参数，并对信号质量和一致性进行统计评估。研究结果表明，cEEGrid系统是一个可行的和强大的记录工具，以捕捉睡眠和清醒脑电图。需要进一步的研究来充分确定cEEGrid是否适合基础和应用研究以及睡眠医学。
Electroencephalography (EEG) recordings represent a vital component of the assessment of sleep physiology, but the methodology presently used is costly, intrusive to participants, and laborious in application. There is a recognized need to develop more easily applicable yet reliable EEG systems that allow unobtrusive long-term recording of sleep-wake EEG ideally away from the laboratory setting. cEEGrid is a recently developed flex-printed around-the-ear electrode array, which holds great potential for sleep-wake monitoring research. It is comfortable to wear, simple to apply, and minimally intrusive during sleep. Moreover, it can be combined with a smartphone-controlled miniaturized amplifier and is fully portable. Evaluation of cEEGrid as a motion-tolerant device is ongoing, but initial findings clearly indicate that it is very well suited for cognitive research. The present study aimed to explore the suitability of cEEGrid for sleep research, by testing whether cEEGrid data affords the signal quality and characteristics necessary for sleep stage scoring. In an accredited sleep laboratory, sleep data from cEEGrid and a standard PSG system were acquired simultaneously. Twenty participants were recorded for one extended nocturnal sleep opportunity. Fifteen data sets were scored manually. Sleep parameters relating to sleep maintenance and sleep architecture were then extracted and statistically assessed for signal quality and concordance. The findings suggest that the cEEGrid system is a viable and robust recording tool to capture sleep and wake EEG. Further research is needed to fully determine the suitability of cEEGrid for basic and applied research as well as sleep medicine.