Journal article
The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness
Melinda L Jackson, Gerard A Kennedy, Catherine Clarke, Melissa Gullo, Philip Swann, Luke A Downey, Arnie C Hayley, Rob J Pierce, Mark E Howard
ACCIDENT ANALYSIS AND PREVENTION | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016
Abstract
Slowed eyelid closure coupled with increased duration and frequency of closure is associated with drowsiness. This study assessed the utility of two devices for automated measurement of slow eyelid closure in a standard poor performance condition (alcohol) and following 12-h sleep deprivation. Twenty-two healthy participants (mean age=20.8 (SD 1.9) years) with no history of sleep disorders participated in the study. Participants underwent one baseline and one counterbalanced session each over two weeks; one 24-hour period of sleep deprivation, and one daytime session during which alcohol was consumed after a normal night of sleep. Participants completed a test battery consisting of a 30-min ..
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Awarded by National Health and Medical Research Council (NHMRC)
Awarded by NH&MRC early career fellowship
Funding Acknowledgements
This study was supported by funding from Vicroads, Melbourne Australia. The Optalert (TM) device was loaned by Sleep Diagnostics for the purpose of the study. Dr. Luke Downey is supported by a National Health and Medical Research Council (NH&MRC) biomedical fellowship (APP1054279). Dr. Melinda L. Jackson is supported by an NH&MRC early career fellowship (APP1036292).