0613 Multimodal Hypersomnolence Assessment Substantially Increases Objective Identification of Hypersomnolence in Patients Referred for Multiple Sleep Latency Testing

Plante, David T.; Cook, John S.; Prairie, ML

doi:10.1093/sleep/zsy061.612

Cited by 1 publication

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“…On the basis of sleep stages, it is concluded that a person is drowsy, if he falls asleep within five minutes [61]. The multiple sleep latency test (MSLT), which measures the ability to fall asleep under soporific conditions, is the current gold standard for quantifying daytime sleepiness [62].…”

Section: B Multiple Sleep Latency Testmentioning

confidence: 99%

Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study

2019

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Drowsiness/sleepiness is a serious issue that needs to be addressed for improvement in the safety of road driving. Past statistical data on road accidents has shown enormous increases in car crashes due to drowsy/sleepy feelings. This study comprehensively summarizes all aspects of the drowsy state and its effects during car driving: its symptoms, causes, preventive actions, car accident statistics, sleep stages, and the behavioral, physiological and neural activation changes occurring during wakefulness and in the drowsy state. It considers drivers' behavioral data and corresponding methodologies for its analysis, the biomedical signals of the human body (including neuronal signals in the forms of electrical and hemodynamic responses), and their use for drowsiness detection. All of the existing methodologies, their uses and pros and cons, are comprehensively summarized. A detailed survey of the data published by neuro-imaging methodology-, physiological signal-and behavioral methodology-based studies in addition to studies using electro-mechanical installed sensors are statistically and theoretically summarized. Additionally, the neuronal activity occurring during the drowsy and awake states are analyzed, and the important contributions of fNIRS, fMRI and EEG in this context are discussed in detail. Differing existing drowsinessdetection systems installed in popular car brands also are reviewed. Finally, the remaining challenges and future suggestions for drowsiness-detection systems are summarized as well.

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Section: B Multiple Sleep Latency Testmentioning

confidence: 99%