Classifying performance impairment in response to sleep loss using pattern recognition algorithms on single session testing

► Insufficient sleep results in cognitive performance impairment. ► There is widespread inter-individual variability in response to sleep loss. ► Current methods to assess impairment rely on tracking an individual over time. ► Our proposed methods can classify level of impairment from one field asse...

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Veröffentlicht in:	Accident analysis and prevention Jg. 50; S. 992 - 1002
Hauptverfasser:	St. Hilaire, Melissa A., Sullivan, Jason P., Anderson, Clare, Cohen, Daniel A., Barger, Laura K., Lockley, Steven W., Klerman, Elizabeth B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2013 Elsevier
Schlagworte:	Adolescent Adult Aged Algorithms Arousal - physiology Assessments Attention - physiology Biological and medical sciences Female Humans Impairment Male Medical sciences Middle Aged Miscellaneous Pattern recognition Pattern Recognition, Automated Performance impairment Predictive Value of Tests Prevention and actions Psychomotor Performance - classification Public health. Hygiene Public health. Hygiene-occupational medicine Reaction Time - physiology Sensitivity and Specificity Sleep Deprivation Sleep loss Sleepiness Time of use Training Wakefulness - physiology Performance impairment Sleep deprivation Pattern recognition Performance evaluation Poverty Loss Medical screening Algorithm Decision tree Response Sleep Sleep wake cycle Performance Recognition Inequality
ISSN:	0001-4575, 1879-2057, 1879-2057
Online-Zugang:	Volltext
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