Driver drowsiness contributes to 10-20% of motor vehicle crashes. To reduce crash risk, ideally drivers would be aware of the drowsy state and cease driving. The extent to which drivers can accurately identify sleepiness remains under much debate. We systematically examined whether individuals are aware of sleepiness while driving, and whether this accurately reflects driving impairment, using meta-analyses and narrative review. Within this scope, there is high variability in measures of subjective sleepiness, driving performance and physiologically-derived drowsiness, and statistical analyses. Thirty-four simulated/naturalistic driving studies were reviewed. To summarise, drivers were aware of sleepiness, and this was associated to physiological drowsiness and driving impairment, such that high levels of sleepiness significantly predicted crash events and lane deviations. Subjective sleepiness was more strongly correlated (i) with physiological drowsiness compared to driving outcomes; (ii) under simulated driving conditions compared to naturalistic drives; and (iii) when examined using the Karolinska sleepiness scale (KSS) compared to other measures. Gaps remain in relation to how age, sex, and varying degrees of sleep loss may influence this association. This review provides evidence that drivers are aware of drowsiness while driving, and stopping driving when feeling 'sleepy' may significantly reduce crash risk.
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http://dx.doi.org/10.1016/j.smrv.2021.101533 | DOI Listing |
Background: Neuromodulatory subcortical systems (NSS) are affected from the early stages of Alzheimer's Disease (AD) by the accumulation of tau pathology. Increased tau burden within the subcortical nucleus that are in control of sleep and wake regulation may contribute to the breakdown of sleep-wake patterns in AD. A recent postmortem study showed that subcortical wake-promoting neurons were related to sleep phenotypes in AD and PSP, being that greater neuronal count in locus coeruleus (LC), tuberomammillary nucleus (TMN), and lateral hypothalamic area (LHA) associated with a decreased sleep drive (Oh et al.
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Department of Emergency Medicine, University of British Columbia, Vancouver, CAN.
Resident physicians often work extended-duration work shifts (EDWSs) exceeding 16 hours. EDWSs are associated with fatigue, workplace errors, mental health problems, and motor vehicle incidents. A 2019 systematic review reported that resident physicians had an increased risk of motor vehicle collisions (MVCs) and of falling asleep at the wheel after EDWSs.
View Article and Find Full Text PDFSensors (Basel)
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Department of Computer Engineering, Gachon University, Seongnam 1342, Republic of Korea.
Drowsiness while driving is a major factor contributing to traffic accidents, resulting in reduced cognitive performance and increased risk. This article gives a complete analysis of a real-time, non-intrusive sleepiness detection system based on convolutional neural networks (CNNs). The device analyses video data recorded from an in-vehicle camera to monitor drivers' facial expressions and detect fatigue indicators such as yawning and eye states.
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Sleep Medicine Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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Department of Pulmonary, Allergy, Critical Care, and Sleep Medicine, The University of Arizona, College of Medicine Tucson, Tucson, AZ.
Obstructive sleep apnea (OSA) is one of the most common sleep disorders. Positive airway pressure therapy (PAP) is considered the gold standard for treating OSA. Yet, optimal therapy might not be achieved in some cases of severe OSA, despite using maximum settings.
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