Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/11995
Title: The accuracy of eyelid movement parameters for drowsiness detection.
Authors: Wilkinson, Vanessa E;Jackson, Melinda L;Westlake, Justine;Stevens, Bronwyn;Barnes, Maree;Swann, Philip;Rajaratnam, Shantha M W;Howard, Mark E
Affiliation: Institute for Breathing & Sleep, Department of Respiratory & Sleep Medicine, Austin Health, Victoria, Australia.
Issue Date: 15-Dec-2013
Citation: Journal of Clinical Sleep Medicine : Jcsm : Official Publication of the American Academy of Sleep Medicine 2013; 9(12): 1315-24
Abstract: Drowsiness is a major risk factor for motor vehicle and occupational accidents. Real-time objective indicators of drowsiness could potentially identify drowsy individuals with the goal of intervening before an accident occurs. Several ocular measures are promising objective indicators of drowsiness; however, there is a lack of studies evaluating their accuracy for detecting behavioral impairment due to drowsiness in real time.In this study, eye movement parameters were measured during vigilance tasks following restricted sleep and in a rested state (n = 33 participants) at three testing points (n = 71 data points) to compare ocular measures to a gold standard measure of drowsiness (OSLER). The utility of these parameters for detecting drowsiness-related errors was evaluated using receiver operating characteristic curves (ROC) (adjusted by clustering for participant) and identification of optimal cutoff levels for identifying frequent drowsiness-related errors (4 missed signals in a minute using OSLER). Their accuracy was tested for detecting increasing frequencies of behavioral lapses on a different task (psychomotor vigilance task [PVT]).Ocular variables which measured the average duration of eyelid closure (inter-event duration [IED]) and the ratio of the amplitude to velocity of eyelid closure were reliable indicators of frequent errors (area under the curve for ROC of 0.73 to 0.83, p < 0.05). IED produced a sensitivity and specificity of 71% and 88% for detecting ≥ 3 lapses (PVT) in a minute and 100% and 86% for ≥ 5 lapses. A composite measure of several eye movement characteristics (Johns Drowsiness Scale) provided sensitivities of 77% and 100% for detecting 3 and ≥ 5 lapses in a minute, with specificities of 85% and 83%, respectively.Ocular measures, particularly those measuring the average duration of episodes of eye closure are promising real-time indicators of drowsiness.
Internal ID Number: 24340294
URI: http://ahro.austin.org.au/austinjspui/handle/1/11995
DOI: 10.5664/jcsm.3278
URL: http://www.ncbi.nlm.nih.gov/pubmed/24340294
Type: Journal Article
Subjects: Behavioral lapses
drowsiness
eye blinks
fatigue
ocular measures
Adolescent
Adult
Aged
Blinking.physiology
Eyelids.physiology
Female
Humans
Male
Middle Aged
Movement.physiology
Psychomotor Performance.physiology
ROC Curve
Reaction Time.physiology
Reproducibility of Results
Sensitivity and Specificity
Sleep Deprivation.physiopathology
Sleep Stages.physiology
Young Adult
Appears in Collections:Journal articles

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