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Carmen van Klaren¹, Anneloes Maij¹, Laurie Marsman¹

¹Royal Netherlands Aerospace Centre (NLR), Department of Safety and Human Performance, Amsterdam, The Netherlands.

Sleep advances : a journal of the Sleep Research Society

|February 29, 2024

概括

耳部EEG技术通过测量睡眠丧失后的大脑波变化来检测操作员疲劳. 虽然对阿尔法功率有效,但在关键行业中可靠的疲劳检测需要进一步改进.

科学领域:

神经科学是一个神经科学.
职业健康职业健康职业健康
生物医学工程生物医学工程

背景情况:

操作员疲劳是安全关键行业的重大风险,需要客观,非侵入性疲劳监测.
目前的疲劳评估方法有局限性,推动了对新技术的需求.

研究的目的:

评估CEEGrids (耳电脑图) 在检测操作员疲劳方面的有效性.
将耳部EEG表现与已建立的疲劳指标进行比较,例如卡罗林斯卡睡眠度量表 (KSS) 和精神运动警觉任务 (PVT).

主要方法:

使用了参与者内部的设计,其中12名参与者在两天的四次会议中接受了睡眠限制.
在睡眠限制和工作日之前和之后,使用ceEEGrids分析了α和theta功率.
性能与KSS分数和PVT响应时间进行了基准测试.

主要成果:

睡眠限制导致参与者的特定耳朵EEG通道中的α频带功率增加.
耳部EEGα功率变化与KSS分数或PVT性能之间没有发现显著的相关性.
没有检测到theta功率的显著变化.

结论:

通过alpha功率,cEEGrids显示了与轻度睡眠丧失相关的生理变化检测的潜力.
目前的耳部EEG配置在检测疲劳方面存在局限性,需要进一步优化以实现实际应用.
耳部EEG为疲劳监测提供了一种不那么侵入性的传统盖部EEG替代方案,等待进一步开发.

关键词:

在EEG分析中,分析了EEG.睡眠不足是因为睡眠不足.昏昏欲睡的睡觉的昏昏欲睡的

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