Trial reportJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2019
Eye-Blink Parameters Detect On-Road Track-Driving Impairment Following Severe Sleep Deprivation.
Trial report in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Blink Rate Measured In Situ Decreases While Reading From Printed Text or Digital Devices, Regardless of Task Duration, Difficulty, or Viewing Distance.Investigative ophthalmology & visual science · 2023Trial
- Sleep deprivation disrupts lacrimal gland homeostasis via hypothalamic-pituitary-adrenal axis and gut dysbiosis in mice.Communications biology · 2026Article
- Drowsiness Classification in Young Drivers Based on Facial Near-Infrared Images Using a Convolutional Neural Network: A Pilot Study.Sensors (Basel, Switzerland) · 2025Article
- Analysis of Neurophysiological Correlates of Mental Fatigue in Both Monotonous and Demanding Driving Conditions.Brain sciences · 2025Article
- Beyond the time-on-task: an EEG-driven approach for effective physiological assessment of mental fatigue in simulated and real driving.Frontiers in bioengineering and biotechnology · 2025Article
- Multimodal state-dependent connectivity analysis of arousal and autonomic centers in the brainstem and basal forebrain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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- Effects of recent cannabis consumption on eye-tracking and pupillometry.Frontiers in neuroscience · 2024Article
- Effects of Sleep Deprivation and Hazard Types on the Visual Search Patterns and Hazard Response Times of Taxi Drivers.Behavioral sciences (Basel, Switzerland) · 2023Article
- Article
- Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.Frontiers in neurorobotics · 2023Article
- PERCLOS-based technologies for detecting drowsiness: current evidence and future directions.Sleep advances : a journal of the Sleep Research Society · 2023Review
- How Tired is Too Tired to Drive? A Systematic Review Assessing the Use of Prior Sleep Duration to Detect Driving Impairment.Nature and science of sleep · 2023Review
- On-road driving impairment following sleep deprivation differs according to age.Scientific reports · 2021Article
- A Review of EEG Signal Features and their Application in Driver Drowsiness Detection Systems.Sensors (Basel, Switzerland) · 2021Review
- An Objective Measure of Drowsy Driving: Are We There Yet?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesDrowsiness 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.
methodsTwelve 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.
resultsSleep 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.
conclusionsEyelid 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 registrationThis 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.
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