Papadelis Christos, Lithari Chrysa, Kourtidou-Papadeli Chrysoula, Bamidis Panagiotis D, Portouli Evangelia, Bekiaris Evangelos
Center for Mind/Brain Sciences (CIMeC), University of Trento, Italy.
Stud Health Technol Inform. 2009;150:485-9.
Driver sleepiness due to sleep deprivation is a causative factor of many road accidents. Reducing the extent of the sleepy driving problem by developing a countermeasure device that will monitor the sleepiness level of the driver is crucial to improve the safety of the roads. Among numerous physiological measurements, the electroencephalographic (EEG) signal seems to be the most sensitive to detect sleepiness. Previous studies in the field have found consistent alterations of EEG signal during sleepy driving, though they face methodological limitations. We present here preliminary results from a real-driving experiment in which a more complete experimental setup was followed. The subjects were exposed to driving conditions twice: once after they had a normal sleep during the previous night, and once after they remained awake for at least 24 hours prior to the experiment. Significant alterations were observed in the alpha and beta EEG frequencies bands between the two sessions. Electroopthalmographic (EOG) measurements revealed an increased number of eye blinking during the sleep-deprived session in comparison to the control condition. Both measurements can be used for the successful design of a sleepiness detection countermeasure device.
睡眠不足导致的驾驶员困倦是许多道路交通事故的一个致病因素。通过开发一种能够监测驾驶员困倦程度的对策装置来减少困倦驾驶问题的程度,对于提高道路安全至关重要。在众多生理测量方法中,脑电图(EEG)信号似乎对检测困倦最为敏感。该领域先前的研究发现,在困倦驾驶期间EEG信号会出现一致的变化,尽管这些研究面临方法学上的局限性。我们在此展示了一项实际驾驶实验的初步结果,该实验采用了更完整的实验设置。受试者接受了两次驾驶条件测试:一次是在前一晚正常睡眠后,另一次是在实验前至少保持清醒24小时后。在这两个测试阶段之间,观察到EEG的α和β频段有显著变化。眼电图(EOG)测量显示,与对照条件相比,在睡眠剥夺阶段眨眼次数增加。这两种测量方法都可用于成功设计困倦检测对策装置。