Jackson Melinda L, Raj Susan, Croft Rodney J, Hayley Amie C, Downey Luke A, Kennedy Gerard A, Howard Mark E
a Institute for Breathing and Sleep, Austin Health , Melbourne , Australia.
b School of Health Sciences, RMIT University , Melbourne , Australia.
Traffic Inj Prev. 2016;17(3):251-7. doi: 10.1080/15389588.2015.1055327. Epub 2015 Jun 11.
Slow eyelid closure is recognized as an indicator of sleepiness in sleep-deprived individuals, although automated ocular devices are not well validated. This study aimed to determine whether changes in eyelid closure are evident following acute sleep deprivation as assessed by an automated device and how ocular parameters relate to performance after sleep deprivation.
Twelve healthy professional drivers (45.58 ± 10.93 years) completed 2 randomized sessions: After a normal night of sleep and after 24 h of total sleep deprivation. Slow eye closure (PERCLOS) was measured while drivers performed a simulated driving task.
Following sleep deprivation, drivers displayed significantly more eyelid closure (P < .05), greater variation in lane position (P < .01) and more attentional lapses (P < .05) compared to after normal sleep. PERCLOS was moderately associated with variability in both vigilance performance (r = 0.68, P < .05) and variation in lane position on the driving task (r = 0.61, P < .05).
Automated ocular measurement appears to be an effective means of detecting impairment due to sleep loss in the laboratory.
尽管自动眼部设备尚未得到充分验证,但缓慢的眼睑闭合被认为是睡眠不足个体困倦的一个指标。本研究旨在确定通过自动设备评估急性睡眠剥夺后眼睑闭合的变化是否明显,以及眼部参数与睡眠剥夺后的表现有何关系。
12名健康的职业司机(45.58±10.93岁)完成了2个随机试验阶段:在正常睡眠一晚后和完全睡眠剥夺24小时后。在司机执行模拟驾驶任务时测量缓慢的眼睑闭合(PERCLOS)。
与正常睡眠后相比,睡眠剥夺后司机表现出明显更多的眼睑闭合(P<.05)、更大的车道位置变化(P<.01)和更多的注意力不集中(P<.05)。PERCLOS与警觉表现的变异性(r=0.68,P<.05)和驾驶任务中车道位置的变化(r=0.61,P<.05)均呈中度相关。
自动眼部测量似乎是检测实验室中因睡眠不足导致的损伤的有效手段。