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通过反射性眼球运动检测和预测嗜睡

Detection and prediction of drowsiness by reflexive eye movements.

作者信息

Hirata Yutaka, Nishiyama Junpei, Kinoshita Shinichi

机构信息

Chubu University College of Engineering, Kasugai, Aichi 487-8501 Japan.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:4015-8. doi: 10.1109/IEMBS.2009.5333504.

Abstract

A reliable predictor of drowsiness using objective measures is desirable for machine and vehicle operations in which human errors may cause fatal accidents. We have evaluated the Vestibulo-Ocular Reflex (VOR) as a possible predictor of drowsiness. The VOR is a compensatory eye movement that stabilizes retinal image during head motion, and is inevitably induced by vibration in a car running on the road. We employed an uneventful driving simulation (DS) featuring vibration stimulation to induce both drowsiness and VOR in healthy human subjects. VOR performance was characterized by its gain and variability, and evaluated in relation to the subjects' drowsiness. A significant decrease in VOR gain and increase in variability accompanied subjective sleepiness, with the changes occurring before subjects became aware of sleepiness. From this finding, we developed a reliable method (88.9% accuracy) to predict oncoming sleepiness using changes in VOR performance as a cue.

摘要

对于机器和车辆操作而言,采用客观测量方法得出的可靠嗜睡预测指标很有必要,因为在这些操作中人为失误可能导致致命事故。我们已将前庭眼反射(VOR)评估为一种可能的嗜睡预测指标。VOR是一种在头部运动期间稳定视网膜图像的代偿性眼球运动,并且在行驶于道路上的汽车中的振动会不可避免地诱发该反射。我们采用了一种平稳驾驶模拟(DS),其具有振动刺激,以在健康人类受试者中诱发嗜睡和VOR。VOR表现通过其增益和变异性来表征,并结合受试者的嗜睡情况进行评估。VOR增益显著下降且变异性增加伴随着主观困倦感,这些变化在受试者意识到困倦之前就已出现。基于这一发现,我们开发了一种可靠的方法(准确率为88.9%),以VOR表现的变化为线索来预测即将出现的嗜睡情况。

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