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脑电图和心电图评估驾驶模拟器中的精神疲劳。

Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator.

机构信息

Engineering College of Armed Police Force, Xi'an 710049, China.

出版信息

Accid Anal Prev. 2012 Mar;45:83-90. doi: 10.1016/j.aap.2011.11.019. Epub 2011 Dec 26.

Abstract

Mental fatigue is a contributing factor to some serious transportation crashes. In this study, we measured mental fatigue in drivers using electroencephalogram (EEG) and electrocardiograph (ECG). Together, thirteen healthy subjects performed a continuous simulated driving task for 90 min with simultaneous ECG and multi-channel EEG recording of each subject. Several important physiological parameters were investigated using preprocessed ECG and EEG signals. The results show that the EEG alpha and beta, the relative power, the amplitude of P300 wave of event-related potential (ERP), the approximated entropy of the ECG, and the lower and upper bands of power of heart rate variability (HRV) are significantly different before and after finishing the driving task (p<0.05). These metrics are possible indices for measuring simulated driving mental fatigue.

摘要

精神疲劳是导致一些严重交通事故的因素之一。在这项研究中,我们使用脑电图(EEG)和心电图(ECG)来测量驾驶员的精神疲劳。十三位健康的受试者一起进行了 90 分钟的连续模拟驾驶任务,同时记录每个受试者的心电图和多通道脑电图。使用预处理的心电图和脑电图信号研究了几个重要的生理参数。结果表明,脑电图阿尔法和贝塔、相对功率、事件相关电位(ERP)P300 波的振幅、心电图的近似熵以及心率变异性(HRV)的下带和上带的功率在完成驾驶任务前后有显著差异(p<0.05)。这些指标可能是衡量模拟驾驶精神疲劳的指标。

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