Eye-blink parameters detect on-road track-driving impairment following severe sleep deprivation

Shamsi Shekari Soleimanloo, Vanessa E. Wilkinson, Jennifer M. Cori, Justine Westlake, Bronwyn Stevens, Luke A. Downey, Brook A. Shiferaw, Shantha M.W. Rajaratnam, Mark E. Howard

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

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 timeon- 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 associationwith the odds of out-of-lane events in the sameminute, whereasmeasures 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.

Original languageEnglish
Pages (from-to)1271-1284
Number of pages14
JournalJournal of Clinical Sleep Medicine
Volume15
Issue number9
DOIs
Publication statusPublished - 15 Sep 2019

Keywords

  • Driving
  • Drowsiness
  • Eye-blink parameters
  • Sleep deprivation
  • Sleepiness

Cite this