Critical research issues in development of biomathematical models of fatigue and performance
- PMID: 15018283
Critical research issues in development of biomathematical models of fatigue and performance
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.
Similar articles
-
Fatigue and performance models: general background and commentary on the circadian alertness simulator for fatigue risk assessment in transportation.Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A119-21. Aviat Space Environ Med. 2004. PMID: 15018272
-
Predictions from the three-process model of alertness.Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A75-83. Aviat Space Environ Med. 2004. PMID: 15018267
-
Summary of the key features of seven biomathematical models of human fatigue and performance.Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A4-14. Aviat Space Environ Med. 2004. PMID: 15018262
-
Research requirements for operational decision-making using models of fatigue and performance.Aviat Space Environ Med. 2004 Mar;75(3 Suppl):A192-9. Aviat Space Environ Med. 2004. PMID: 15018284 Review.
-
Circadian rhythms, sleep, and performance in space.Aviat Space Environ Med. 2005 Jun;76(6 Suppl):B94-107. Aviat Space Environ Med. 2005. PMID: 15943202 Review.
Cited by
-
Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness.Transp Res Part F Traffic Psychol Behav. 2021 May;79:94-106. doi: 10.1016/j.trf.2021.04.006. Epub 2021 May 12. Transp Res Part F Traffic Psychol Behav. 2021. PMID: 33994837 Free PMC article.
-
Integrating DRN-RF with computer vision for detection of control room operator's mental fatigue.PLoS One. 2025 Apr 9;20(4):e0320780. doi: 10.1371/journal.pone.0320780. eCollection 2025. PLoS One. 2025. PMID: 40203006 Free PMC article.
-
Effects of sleep deprivation on dissociated components of executive functioning.Sleep. 2010 Jan;33(1):47-57. doi: 10.1093/sleep/33.1.47. Sleep. 2010. PMID: 20120620 Free PMC article. Clinical Trial.
-
Dynamic circadian modulation in a biomathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance.Sleep. 2013 Dec 1;36(12):1987-97. doi: 10.5665/sleep.3246. Sleep. 2013. PMID: 24293775 Free PMC article.
-
Sleep restriction during simulated wildfire suppression: effect on physical task performance.PLoS One. 2015 Jan 23;10(1):e0115329. doi: 10.1371/journal.pone.0115329. eCollection 2015. PLoS One. 2015. PMID: 25615988 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Other Literature Sources
Medical