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Synchronized drowsiness monitoring and simulated driving performance data under 50-hr sleep deprivation: A double-blind placebo-controlled caffeine intervention

机译:睡眠不足50小时下的同步睡意监控和模拟驾驶性能数据:双盲安慰剂控制的咖啡因干预

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摘要

This paper presents the 60-s time-resolution segment from our 50-h total sleep deprivation (TSD) dataset (Aidman et al., 2018) that captures minute-by-minute dynamics of driving performance (lane keeping and speed variability) along with objective, oculography-derived drowsiness estimates synchronised to the same 1-min driving epochs. Eleven participants (5 females, aged 18–28) were randomised into caffeine (administered in four 200 mg doses via chewing gum in the early morning hours) or placebo groups. Every three hours they performed a 40 min simulated drive in a medium fidelity driving simulator, while their drowsiness was continuously measured with a spectacle frame-mounted infra-red alertness monitoring system. The dataset covers 15 driving periods of 40 min each, and thus contains over 600 data points of paired data per participant. The 1-min time resolution enables detailed time-series analyses of both time-since-wake and time-on-task performance dynamics and associated drowsiness levels. It also enables direct examination of the relationships between drowsiness and task performance measures. The question of how these relationships might change under various intervention conditions (caffeine in our case) seems worth further investigation.
机译:本文介绍了我们的50小时总睡眠剥夺(TSD)数据集(Aidman等人,2018)中的60秒时间分辨率段,该数据段捕获了驾驶性能的逐分钟动态变化(车道保持和速度可变性)客观地,由眼图得出的睡意估计与相同的1分钟驾驶时间同步。 11名参与者(5名女性,年龄在18-28岁)被随机分为咖啡因(在清晨时通过口香糖以200μmg的剂量服用四次)或安慰剂组。他们每三个小时在中等保真驾驶模拟器中进行40分钟的模拟驾驶,同时使用安装在眼镜架上的红外警报监控系统连续测量他们的睡意。该数据集涵盖15个驾驶周期,每个驾驶周期40分钟,因此每个参与者包含600多个配对数据的数据点。 1分钟的时间分辨率可对自唤醒时间和任务执行时间的动态性能以及相关的睡意程度进行详细的时序分析。它还可以直接检查睡意与任务绩效指标之间的关系。这些关系在各种干预条件下(我们的咖啡因)如何变化的问题似乎值得进一步研究。

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