Literature DB >> 31538598

Eye-Blink Parameters Detect On-Road Track-Driving Impairment Following Severe Sleep Deprivation.

Shamsi Shekari Soleimanloo1,2, Vanessa E Wilkinson1, Jennifer M Cori1, Justine Westlake1, Bronwyn Stevens1, Luke A Downey1,3, Brook A Shiferaw1, Shantha M W Rajaratnam2, Mark E Howard1,2,4.   

Abstract

STUDY
OBJECTIVES: Drowsiness leads to 20% of fatal road crashes, while inability to assess drowsiness has hampered drowsiness interventions. This study examined the accuracy of eye-blink parameters for detecting drowsiness related driving impairment in real time.
METHODS: Twelve participants undertook two sessions of 2-hour track-driving in an instrumented vehicle following a normal night's sleep or 32 to 34 hours of extended wake in a randomized crossover design. Eye-blink parameters and lane excursion events were monitored continuously.
RESULTS: Sleep deprivation increased the rates of out-of-lane driving events and early drive terminations. Episodes of prolonged eyelid closures, blink duration, the ratio of amplitude to velocity of eyelid closure, and John's Drowsiness Score (JDS, a composite score) were also increased following sleep deprivation. A time-on-task (drive duration) effect was evident for out-of-lane events rate and most eye-blink parameters after sleep deprivation. The JDS demonstrated the strongest association with the odds of out-of-lane events in the same minute, whereas measures of blink duration and prolonged eye closure were stronger indicators of risk for out-of-lane events over longer periods of 5 minutes and 15 minutes, respectively. Eye-blink parameters also achieved moderate accuracies (specificities from 70.12% to 84.15% at a sensitivity of 50%) for detecting out-of-lane events in the same minute, with stronger associations over longer timeframes of 5 minutes to 15 minutes.
CONCLUSIONS: Eyelid closure parameters are useful tools for monitoring and predicting drowsiness-related driving impairment (out-of-lane events) that could be utilized for monitoring drowsiness and assessing the efficacy of drowsiness interventions. CLINICAL TRIAL REGISTRATION: This study is registered with the Australian New Zealand Clinical Trial Registry (ANCTR), http://www.anzctr.org.au/TrialSearch.aspx ACTRN12612000102875. CITATION: Shekari Soleimanloo S, Wilkinson VE, Cori JM,Westlake J, Stevens B, Downey LA, Shiferaw BA, Rajaratnam SMW, Howard ME. Eye-blink parameters detect on-road track-driving impairment following severe sleep deprivation. J Clin Sleep Med. 2019;15(9):1271-1284.
© 2019 American Academy of Sleep Medicine.

Entities:  

Keywords:  driving; drowsiness; eye-blink parameters; sleep deprivation; sleepiness

Year:  2019        PMID: 31538598      PMCID: PMC6760410          DOI: 10.5664/jcsm.7918

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


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  2 in total

1.  An Objective Measure of Drowsy Driving: Are We There Yet?

Authors:  Dorrie Rizzo; Marc Baltzan
Journal:  J Clin Sleep Med       Date:  2019-09-15       Impact factor: 4.062

2.  On-road driving impairment following sleep deprivation differs according to age.

Authors:  Anna W T Cai; Jessica E Manousakis; Bikram Singh; Jonny Kuo; Katherine J Jeppe; Elly Francis-Pester; Brook Shiferaw; Caroline J Beatty; Shantha M W Rajaratnam; Michael G Lenné; Mark E Howard; Clare Anderson
Journal:  Sci Rep       Date:  2021-11-03       Impact factor: 4.379

  2 in total

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