
TY  - JOUR
PY  - 2019//
TI  - Eye-blink parameters detect on-road track-driving impairment following severe sleep deprivation
JO  - Journal of clinical sleep medicine
A1  - Shekari Soleimanloo, Shamsi
A1  - Wilkinson, Vanessa E.
A1  - Cori, Jennifer M.
A1  - Westlake, Justine
A1  - Stevens, Bronwyn
A1  - Downey, Luke A.
A1  - Shiferaw, Brook A.
A1  - Rajaratnam, Shantha M. W.
A1  - Howard, Mark E.
SP  - 1271
EP  - 1284
VL  - 15
IS  - 9
N2  - 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. <br><br>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. <br><br>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. <br><br>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.<br><br>© 2019 American Academy of Sleep Medicine.<p />  <p>Language: en</p>
LA  - en
SN  - 1550-9389
UR  - http://dx.doi.org/10.5664/jcsm.7918
ID  - ref1
ER  -