Literature DB >> 15018283

Critical research issues in development of biomathematical models of fatigue and performance.

David F Dinges1.   

Abstract

This article reviews the scientific research needed to ensure the continued development, validation, and operational transition of biomathematical models of fatigue and performance. These models originated from the need to ascertain the formal underlying relationships among sleep and circadian dynamics in the control of alertness and neurobehavioral performance capability. Priority should be given to research that further establishes their basic validity, including the accuracy of the core mathematical formulae and parameters that instantiate the interactions of sleep/wake and circadian processes. Since individuals can differ markedly and reliably in their responses to sleep loss and to countermeasures for it, models must incorporate estimates of these inter-individual differences, and research should identify predictors of them. To ensure models accurately predict recovery of function with sleep of varying durations, dose-response curves for recovery of performance as a function of prior sleep homeostatic load and the number of days of recovery are needed. It is also necessary to establish whether the accuracy of models is affected by using work/rest schedules as surrogates for sleep/wake inputs to models. Given the importance of light as both a circadian entraining agent and an alerting agent, research should determine the extent to which light input could incrementally improve model predictions of performance, especially in persons exposed to night work, jet lag, and prolonged work. Models seek to estimate behavioral capability and/or the relative risk of adverse events in a fatigued state. Research is needed on how best to scale and interpret metrics of behavioral capability, and incorporate factors that amplify or diminish the relationship between model predictions of performance and risk outcomes.

Entities:  

Keywords:  NASA Discipline Space Human Factors; Non-NASA Center

Mesh:

Year:  2004        PMID: 15018283

Source DB:  PubMed          Journal:  Aviat Space Environ Med        ISSN: 0095-6562


  9 in total

1.  Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance.

Authors:  Peter McCauley; Leonid V Kalachev; Daniel J Mollicone; Siobhan Banks; David F Dinges; Hans P A Van Dongen
Journal:  Sleep       Date:  2013-12-01       Impact factor: 5.849

2.  Sleepiness and Safety: Where Biology Needs Technology.

Authors:  Takashi Abe; Daniel Mollicone; Mathias Basner; David F Dinges
Journal:  Sleep Biol Rhythms       Date:  2014-04-01       Impact factor: 1.186

3.  Sleep Deprivation-Induced Blood-Brain Barrier Breakdown and Brain Dysfunction are Exacerbated by Size-Related Exposure to Ag and Cu Nanoparticles. Neuroprotective Effects of a 5-HT3 Receptor Antagonist Ondansetron.

Authors:  Aruna Sharma; Dafin F Muresanu; José V Lafuente; Ranjana Patnaik; Z Ryan Tian; Anca D Buzoianu; Hari S Sharma
Journal:  Mol Neurobiol       Date:  2015-07-02       Impact factor: 5.590

4.  Effects of sleep deprivation on dissociated components of executive functioning.

Authors:  Adrienne M Tucker; Paul Whitney; Gregory Belenky; John M Hinson; Hans P A Van Dongen
Journal:  Sleep       Date:  2010-01       Impact factor: 5.849

Review 5.  A comprehensive review of approaches to detect fatigue using machine learning techniques.

Authors:  Rohit Hooda; Vedant Joshi; Manan Shah
Journal:  Chronic Dis Transl Med       Date:  2022-02-24

6.  An improved methodology for individualized performance prediction of sleep-deprived individuals with the two-process model.

Authors:  Srinivasan Rajaraman; Andrei V Gribok; Nancy J Wesensten; Thomas J Balkin; Jaques Reifman
Journal:  Sleep       Date:  2009-10       Impact factor: 5.849

7.  Optimization of biomathematical model predictions for cognitive performance impairment in individuals: accounting for unknown traits and uncertain states in homeostatic and circadian processes.

Authors:  Hans P A Van Dongen; Christopher G Mott; Jen-Kuang Huang; Daniel J Mollicone; Frederic D McKenzie; David F Dinges
Journal:  Sleep       Date:  2007-09       Impact factor: 5.849

8.  Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness.

Authors:  Mark E McCauley; Peter McCauley; Samantha M Riedy; Siobhan Banks; Adrian J Ecker; Leonid V Kalachev; Suresh Rangan; David F Dinges; Hans P A Van Dongen
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2021-05-12

9.  Sleep restriction during simulated wildfire suppression: effect on physical task performance.

Authors:  Grace Vincent; Sally A Ferguson; Jacqueline Tran; Brianna Larsen; Alexander Wolkow; Brad Aisbett
Journal:  PLoS One       Date:  2015-01-23       Impact factor: 3.240

  9 in total

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