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Automatic Onset Detection of Rapid Eye Movements in REM Sleep EEG Data

机译:REM睡眠EEG数据中快速眼动击的自动发作检测

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摘要

Rapid eye movements (REM) during sleep is a descriptor of the REM sleep stage. Parameters associated with REM sleep, such as REM sleep numbers, REM density, REM latency, and pre-REM negativity have been associated with the functional role of REM sleep. The temporal properties of these parameters appear to play an essential role in REM sleep, so precise knowledge of these temporal properties, particularly REM onset, can help elucidate the temporal dynamics of neural activity related to REM sleep. However, manual detection of this event is a time-consuming and subjective process that can be facilitated by an automatic detection tool. We developed an automatic REM onset detection algorithm based on features describing rapid eye movements and compared the results obtained with human detection by a sleep expert.
机译:睡眠期间的快速眼动(REM)是REM睡眠阶段的描述符。 与REM睡眠相关的参数,例如REM睡眠号,REM密度,REM延迟和预验证前的消极性与REM睡眠的功能作用有关。 这些参数的时间特性似乎在REM睡眠中发挥着重要作用,因此对这些时间特性的精确了解,特别是REM发作,可以帮助阐明与REM睡眠相关的神经活动的时间动态。 但是,此事件的手动检测是可以通过自动检测工具促进的耗时和主观过程。 我们开发了一种基于描述快速眼球运动的特征的自动REM开始检测算法,并将通过睡眠专家进行人体检测获得的结果进行了比较。

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