Bennet Laura, Fyfe Karinna L, Yiallourou Stephanie R, Merk Henriette, Wong Flora Y, Horne Rosemary S C
Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia.
Acta Paediatr. 2016 Dec;105(12):e582-e587. doi: 10.1111/apa.13602. Epub 2016 Oct 14.
Limited two-channel electroencephalography (EEG) and amplitude-integrated EEG (aEEG) monitorings are being increasingly used; however, these measurements have not been compared with polysomnographic monitoring, the gold standard for determining infant sleep states. We aimed to determine the accuracy of two-channel EEG and aEEG recordings in defining sleep states and wakefulness in term infants compared to polysomnographic monitoring.
Sleep was assessed in eight healthy term born infants (mean: 34 ± 3 days), using simultaneous polysomnography (Compumedics S-Series) and a two-channel EEG monitor (Brainz BRM2). EEG intensity, 90% spectral edge frequency (SEF), aEEG amplitude frequency bands were analysed in 30-second epochs during quiet sleep, active sleep and awake as determined by polysomnography.
BRM2-recorded EEG accurately identified quiet sleep from active sleep for EEG intensity (p = 0.003), SEF (p = 0.001) and aEEG amplitude (p = 0.003) and quiet sleep from awake, but not active sleep from awake. Frequency band analysis showed that wake could be identified by changes in absolute power (p = 0.015) and frequency as a percentage of total power (p = 0.03).
We demonstrate that limited two-channel EEG monitoring can distinguish quiet sleep from active sleep and may be suitable for investigating the development of sleep in infants in the neonatal intensive care setting.
两通道脑电图（EEG）监测和振幅整合脑电图（aEEG）监测的应用越来越广泛；然而，这些测量方法尚未与多导睡眠图监测进行比较，多导睡眠图监测是确定婴儿睡眠状态的金标准。我们旨在确定与多导睡眠图监测相比，两通道EEG和aEEG记录在界定足月儿睡眠状态和清醒状态方面的准确性。
使用同步多导睡眠图（Compumedics S系列）和两通道EEG监测仪（Brainz BRM2）对8名健康足月儿（平均：34±3天）的睡眠进行评估。根据多导睡眠图确定的安静睡眠、活跃睡眠和清醒状态，以30秒为一个时段分析EEG强度、90%频谱边缘频率（SEF）、aEEG振幅频段。
BRM2记录的EEG能准确区分安静睡眠与活跃睡眠的EEG强度（p = 0.003）、SEF（p = 0.001）和aEEG振幅（p = 0.003），以及安静睡眠与清醒状态，但无法区分活跃睡眠与清醒状态。频段分析表明，可通过绝对功率变化（p = 0.015）和频率占总功率的百分比（p = 0.03）来识别清醒状态。
我们证明，有限的两通道EEG监测可以区分安静睡眠和活跃睡眠，可能适用于在新生儿重症监护环境中研究婴儿睡眠的发育情况。
