Literature DB >> 27306397

Prolonged Eyelid Closure Episodes during Sleep Deprivation in Professional Drivers.

Pasquale K Alvaro1,2, Melinda L Jackson1,3, David J Berlowitz1,4, Philip Swann5, Mark E Howard1,2,4.   

Abstract

STUDY
OBJECTIVES: Real life ocular measures of drowsiness use average blink duration, amplitude and velocity of eyelid movements to reflect drowsiness in drivers. However, averaged data may conceal the variability in duration of eyelid closure episodes, and more prolonged episodes that indicate higher levels of drowsiness. The current study aimed to describe the frequency and duration of prolonged eyelid closure episodes during acute sleep deprivation.
METHODS: Twenty male professional drivers (mean age ± standard deviation = 41.9 ± 8.3 years) were recruited from the Transport Workers Union newsletter and newspaper advertisements in Melbourne, Australia. Each participant underwent 24 hours of sleep deprivation and completed a simulated driving task (AusEd), the Psychomotor Vigilance Task, and the Karolinska Sleepiness Scale. Eyelid closure episodes during the driving task were recorded and analyzed manually from digital video recordings.
RESULTS: Eyelid closure episodes increased in frequency and duration with a median of zero s/h of eyelid closure after 3 h increasing to 34 s/h after 23 h awake. Eyelid closure episodes were short and infrequent from 3 to 14 h of wakefulness. After 17 h of sleep deprivation, longer and more frequent eyelid closure episodes began to occur. Episodes lasting from 7 seconds up to 18 seconds developed after 20 h of wakefulness. Length of eyelid closure episodes was moderately to highly correlated with the standard deviation of lateral lane position, braking reaction time, crashes, impaired vigilance, and subjective sleepiness.
CONCLUSIONS: The frequency and duration of episodes of prolonged eyelid closure increases during acute sleep deprivation, with very prolonged episodes after 17 hours awake. Automated devices that assess drowsiness using averaged measures of eyelid closure episodes need to be able to detect prolonged eyelid closure episodes that occur during more severe sleep deprivation.
© 2016 American Academy of Sleep Medicine.

Entities:  

Keywords:  automated devices; averaged data; drowsiness; eyelid closure episodes; professional drivers; sleepiness

Mesh:

Year:  2016        PMID: 27306397      PMCID: PMC4957187          DOI: 10.5664/jcsm.6044

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


  25 in total

1.  Subjective and objective sleepiness in the active individual.

Authors:  T Akerstedt; M Gillberg
Journal:  Int J Neurosci       Date:  1990-05       Impact factor: 2.292

2.  The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness.

Authors:  Melinda L Jackson; Gerard A Kennedy; Catherine Clarke; Melissa Gullo; Philip Swann; Luke A Downey; Amie C Hayley; Rob J Pierce; Mark E Howard
Journal:  Accid Anal Prev       Date:  2015-12-10

Review 3.  Look before you (s)leep: evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry.

Authors:  Drew Dawson; Amelia K Searle; Jessica L Paterson
Journal:  Sleep Med Rev       Date:  2013-06-21       Impact factor: 11.609

4.  Slow eyelid closure as a measure of driver drowsiness and its relationship to performance.

Authors:  Melinda L Jackson; Susan Raj; Rodney J Croft; Amie C Hayley; Luke A Downey; Gerard A Kennedy; Mark E Howard
Journal:  Traffic Inj Prev       Date:  2015-06-11       Impact factor: 1.491

5.  Prevalence of driver sleepiness in a random population-based sample of car driving.

Authors:  J Connor; R Norton; S Ameratunga; E Robinson; B Wigmore; R Jackson
Journal:  Sleep       Date:  2001-09-15       Impact factor: 5.849

6.  Validation of the Karolinska sleepiness scale against performance and EEG variables.

Authors:  Kosuke Kaida; Masaya Takahashi; Torbjörn Akerstedt; Akinori Nakata; Yasumasa Otsuka; Takashi Haratani; Kenji Fukasawa
Journal:  Clin Neurophysiol       Date:  2006-05-06       Impact factor: 3.708

7.  Subjective sleepiness correlates negatively with global alpha (8-12 Hz) and positively with central frontal theta (4-8 Hz) frequencies in the human resting awake electroencephalogram.

Authors:  Arjen M Strijkstra; Domien G M Beersma; Berdine Drayer; Nynke Halbesma; Serge Daan
Journal:  Neurosci Lett       Date:  2003-04-03       Impact factor: 3.046

8.  A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

Authors:  M W Johns
Journal:  Sleep       Date:  1991-12       Impact factor: 5.849

9.  Relations between performance and subjective ratings of sleepiness during a night awake.

Authors:  M Gillberg; G Kecklund; T Akerstedt
Journal:  Sleep       Date:  1994-04       Impact factor: 5.849

10.  The accuracy of eyelid movement parameters for drowsiness detection.

Authors:  Vanessa E Wilkinson; Melinda L Jackson; Justine Westlake; Bronwyn Stevens; Maree Barnes; Philip Swann; Shantha M W Rajaratnam; Mark E Howard
Journal:  J Clin Sleep Med       Date:  2013-12-15       Impact factor: 4.062

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  2 in total

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

Authors:  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
Journal:  J Clin Sleep Med       Date:  2019-09-15       Impact factor: 4.062

Review 2.  Sleep apnea and its role in transportation safety.

Authors:  Maria Bonsignore
Journal:  F1000Res       Date:  2017-12-22
  2 in total

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