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https://ahro.austin.org.au/austinjspui/handle/1/16145| Title: | Slow eyelid closure as a measure of driver drowsiness and its relationship to performance | Austin Authors: | Jackson, Melinda L ;Raj, Susan;Croft, Rodney J;Hayley, Amie C ;Downey, Luke A;Kennedy, Gerard A;Howard, Mark E | Affiliation: | Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia School of Health Sciences, RMIT University, Melbourne, Victoria, Australia MedStar Health Research Institute, Washington Hospital Center, Washington, DC, USA School of Psychology, University of Wollongong, Wollongong, NSW, Australia Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Victoria, Australia Department of Psychology, Swansea University, Swansea, Wales, UK School of Psychology, Counselling & Psychotherapy, Cairnmillar Institute, Melbourne, Victoria, Australia |
Issue Date: | 2016 | Date: | 2016-06-11 | Publication information: | Traffic Injury Prevention 2016; 17(3):251-257 | Abstract: | Objective: 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. Methods: 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. Results: 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).Conclusions: Automated ocular measurement appears to be an effective means of detecting impairment due to sleep loss in the laboratory. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/16145 | DOI: | 10.1080/15389588.2015.1055327 | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/26065627 | Type: | Journal Article | Subjects: | Professional drivers Reaction time Simulated driving Sleep deprivation Slow eyelid closure Standard deviation of lateral position Vigilance |
| Appears in Collections: | Journal articles |
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