ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2013
The accuracy of eyelid movement parameters for drowsiness detection.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 71 citations in OpenAlex.
- The effects of caffeine on drowsiness in patients with narcolepsy: a double-blind randomized controlled pilot study.Sleep & breathing = Schlaf & Atmung · 2020Trial
- Eye-Blink Parameters Detect On-Road Track-Driving Impairment Following Severe Sleep Deprivation.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Trial
- Detection of human drowsiness by the vestibulo-ocular reflex compensating for heartbeat-induced head perturbations.Scientific reports · 2024Article
- Emerging order of anomalous eye movements with progressive drowsiness.Journal of vision · 2023Article
- PERCLOS-based technologies for detecting drowsiness: current evidence and future directions.Sleep advances : a journal of the Sleep Research Society · 2023Review
- Detecting Soldiers' Fatigue Using Eye-Tracking Glasses: Practical Field Applications and Research Opportunities.Military medicine · 2022Review
- Differential Effects of a Novel Opioid Ligand UTA1003 on Antinociceptive Tolerance and Motor Behaviour.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Predicting and mitigating fatigue effects due to sleep deprivation: A review.Frontiers in neuroscience · 2022Review
- Profiling the Effects of Repetitive Morphine Administration on Motor Behavior in Rats.Molecules (Basel, Switzerland) · 2021Article
- Peak Detection Algorithm for Vital Sign Detection Using Doppler Radar Sensors.Sensors (Basel, Switzerland) · 2019Article
- Heart Rate Change While Drowsy Driving.Journal of Korean medical science · 2019Article
- The Differential Effects of Regular Shift Work and Obstructive Sleep Apnea on Sleepiness, Mood and Neurocognitive Function.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
- Comparison of Bispectral Index™ values during the flotation restricted environmental stimulation technique and results for stage I sleep: a prospective pilot investigation.BMC research notes · 2017Article
- BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis.Frontiers in neuroscience · 2017Article
- Sleep apnea and its role in transportation safety.F1000Research · 2017Review
- Prolonged Eyelid Closure Episodes during Sleep Deprivation in Professional Drivers.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016Article
- High risk of near-crash driving events following night-shift work.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Sleepiness and Safety: Where Biology Needs Technology.Sleep and biological rhythms · 2014Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesDrowsiness 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.
methodsIn 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]).
resultsOcular 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.
conclusionsOcular measures, particularly those measuring the average duration of episodes of eye closure are promising real-time indicators of drowsiness.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.