Assessment of the unified model of performance: accuracy of group-average and individualised alertness predictions.

Priezjev, Nikolai V; Vital-Lopez, Francisco G; Reifman, Jaques

Priezjev, Nikolai V; Vital-Lopez, Francisco G; Reifman, Jaques.

Affiliation

Priezjev NV; Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland, USA.
Vital-Lopez FG; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.
Reifman J; Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Development Command, Fort Detrick, Maryland, USA.

J Sleep Res ; 32(2): e13626, 2023 04.

Article in En | MEDLINE | ID: mdl-35521938

Subject(s)

Caffeine; Sleep Deprivation; Humans; Attention; Caffeine/pharmacology; Psychomotor Performance

Key words

alertness prediction model; fatigue; neurobehavioral performance; psychomotor vigilance test; sleep deprivation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sleep Deprivation / Caffeine Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Sleep Res Journal subject: PSICOFISIOLOGIA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

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