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测量飞机飞行员和汽车驾驶员的神经生理信号,以评估心理负荷、疲劳和嗜睡情况。

Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness.

作者信息

Borghini Gianluca, Astolfi Laura, Vecchiato Giovanni, Mattia Donatella, Babiloni Fabio

机构信息

IRCCS Fondazione Santa Lucia, via Ardeatina 306, Rome, Italy.

IRCCS Fondazione Santa Lucia, via Ardeatina 306, Rome, Italy; Department of Computer, Control and Management Engineering "Antonio Ruberti", University of Rome Sapienza, P.le A. Moro 5, 00185, Rome, Italy.

出版信息

Neurosci Biobehav Rev. 2014 Jul;44:58-75. doi: 10.1016/j.neubiorev.2012.10.003. Epub 2012 Oct 30.

Abstract

This paper reviews published papers related to neurophysiological measurements (electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers during their driving tasks. The aim is to summarise the main neurophysiological findings related to the measurements of pilot/driver's brain activity during drive performance and how particular aspects of this brain activity could be connected with the important concepts of "mental workload", "mental fatigue" or "situational awareness". Review of the literature suggests that exists a coherent sequence of changes for EEG, EOG and HR variables during the transition from normal drive, high mental workload and eventually mental fatigue and drowsiness. In particular, increased EEG power in theta band and a decrease in alpha band occurred in high mental workload. Successively, increased EEG power in theta as well as delta and alpha bands characterise the transition between mental workload and mental fatigue. Drowsiness is also characterised by increased blink rate and decreased HR values. The detection of such mental states is actually performed "offline" with accuracy around 90% but not online. A discussion on the possible future applications of findings provided by these neurophysiological measurements in order to improve the safety of the vehicles will be also presented.

摘要

本文回顾了已发表的与飞行员/驾驶员在驾驶任务期间的神经生理学测量(脑电图:EEG、眼电图:EOG;心率:HR)相关的论文。目的是总结与驾驶过程中飞行员/驾驶员大脑活动测量相关的主要神经生理学发现,以及这种大脑活动的特定方面如何与“心理负荷”、“精神疲劳”或“态势感知”等重要概念相关联。文献综述表明,在从正常驾驶、高心理负荷到最终精神疲劳和困倦的转变过程中,EEG、EOG和HR变量存在连贯的变化序列。特别是,在高心理负荷时,θ波段的EEG功率增加,α波段的功率降低。随后,θ波段以及δ和α波段的EEG功率增加是心理负荷和精神疲劳之间转变的特征。困倦还表现为眨眼频率增加和心率值降低。实际上,这种精神状态的检测是“离线”进行的,准确率约为90%,而非“在线”。还将讨论这些神经生理学测量结果在未来可能的应用,以提高车辆安全性。

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