Individualized Biomathematical Modeling of Fatigue and Performance

Abstract

Fatigue from sleep loss and circadian misalignment jeopardizes the cognitive performance and safety of individuals during sustained Air Force operations. Mathematical models of fatigue and performance provide a useful tool for the prediction of cognitive impairment resulting from sleep loss and circadian disruption. However, currently available models do not accurately predict the effects of chronic sleep restriction, and do not make reliable predictions at the level of persons or small teams. In this project, a new model for the sleep/wake homeostatic regulation of fatigue was developed to improve predictions of performance deficits under conditions of chronic sleep loss. Furthermore, Bayesian forecasting was implemented to predict performance responses to sleep loss and circadian displacement for individuals. This project resulted in significant advances in fatigue and performance modeling, addressing the Air Force's need to understand and help mitigate the effects of fatigue on cognitive capability.

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Document Details

Document Type
Technical Report
Publication Date
May 29, 2008
Accession Number
ADA482265

Entities

People

  • Hans P. Van Dongen

Organizations

  • Washington State University Spokane

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Operations
  • Biomedical Research
  • Circadian Rhythms
  • Cognitive Impairment
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computers
  • Difference Equations
  • Differential Equations
  • Health Services
  • Mathematical Models
  • Medical Personnel
  • Models
  • Operating Systems
  • Performance Tests

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy