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

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.

[1]  Maria L. Thomas,et al.  Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose‐response study , 2003, Journal of sleep research.

[2]  Adam Fletcher,et al.  A model to predict work-related fatigue based on hours of work. , 2004, Aviation, space, and environmental medicine.

[3]  Jun Lu,et al.  Melanopsin in cells of origin of the retinohypothalamic tract , 2001, Nature Neuroscience.

[4]  D. Dinges,et al.  Investigating the interaction between the homeostatic and circadian processes of sleep–wake regulation for the prediction of waking neurobehavioural performance , 2003, Journal of sleep research.

[5]  Steven R. Hursh,et al.  Commentary on Fatigue Models for Applied Research in Warfighting , 2004 .

[6]  Peter Achermann,et al.  A model of human sleep homeostasis based on EEG slow-wave activity: Quantitative comparison of data and simulations , 1993, Brain Research Bulletin.

[7]  A N Nicholson,et al.  Influence of back angle on the quality of sleep in seats. , 1987, Ergonomics.

[8]  S. Reppert,et al.  Coordination of circadian timing in mammals , 2002, Nature.

[9]  D. Dijk,et al.  Daytime exposure to bright light, as compared to dim light, decreases sleepiness and improves psychomotor vigilance performance. , 2003, Sleep.

[10]  D F Dinges,et al.  Commentary: Future Considerations for Models of Human Neurobehavioral Function , 1999, Journal of biological rhythms.

[11]  Karl E Friedl,et al.  Research requirements for operational decision-making using models of fatigue and performance. , 2004, Aviation, space, and environmental medicine.

[12]  Hans P. A. Van Dongen,et al.  Comparison of mathematical model predictions to experimental data of fatigue and performance , 2004 .

[13]  Laura M. Colletti,et al.  Controlled breaks as a fatigue countermeasure on the flight deck. , 2002, Aviation, space, and environmental medicine.

[14]  S. Doran,et al.  Sustained attention performance during sleep deprivation: evidence of state instability. , 2001, Archives italiennes de biologie.

[15]  D. Dinges,et al.  Performing while sleepy: Effects of experimentally-induced sleepiness. , 1991 .

[16]  P. Achermann The two-process model of sleep regulation revisited. , 2004, Aviation, space, and environmental medicine.

[17]  Simon Folkard,et al.  Trends in the risk of accidents and injuries and their implications for models of fatigue and performance. , 2004, Aviation, space, and environmental medicine.

[18]  Daniel B. Forger,et al.  Revised Limit Cycle Oscillator Model of Human Circadian Pacemaker , 1999, Journal of biological rhythms.

[19]  T. Balkin,et al.  Fatigue models for applied research in warfighting. , 2004, Aviation, space, and environmental medicine.

[20]  Hans P. A. Van Dongen,et al.  Sleep debt and cumulative excess wakefulness , 2003 .

[21]  Gregory Belenky,et al.  On the importance of countermeasures in sleep and performance models. , 2004, Aviation, space, and environmental medicine.

[22]  E. Mignot,et al.  Sleeping with the hypothalamus: emerging therapeutic targets for sleep disorders , 2002, Nature Neuroscience.

[23]  Charles A. Czeisler,et al.  The human circadian timing system and sleep-wake regulation , 2000 .

[24]  Wayne G Horn,et al.  Health experience of 122 submarine crewmembers during a 101-day submergence. , 2003, Aviation, space, and environmental medicine.

[25]  Richard E. Kronauer,et al.  Quantifying Human Circadian Pacemaker Response to Brief, Extended, and Repeated Light Stimuli over the Phototopic Range , 1999, Journal of biological rhythms.

[26]  E N Brown,et al.  Statistical Model Building and Model Criticism for Human Circadian Data , 1999, Journal of biological rhythms.

[27]  S. Daan,et al.  Timing of human sleep: recovery process gated by a circadian pacemaker. , 1984, The American journal of physiology.

[28]  Simon Folkard,et al.  Predictions from the three-process model of alertness. , 2004, Aviation, space, and environmental medicine.

[29]  Gregory Belenky,et al.  Modulating the homeostatic process to predict performance during chronic sleep restriction. , 2004, Aviation, space, and environmental medicine.

[30]  D. Dinges,et al.  Summary of the key features of seven biomathematical models of human fatigue and performance. , 2004, Aviation, space, and environmental medicine.

[31]  Melissa M. Mallis,et al.  MANAGING FATIGUE BY DROWSINESS DETECTION: CAN TECHNOLOGICAL PROMISES BE REALIZED? , 1998 .

[32]  Daniel J Buysse,et al.  Circadian determinants of the postlunch dip in performance. , 1996, Chronobiology international.

[33]  D. Dinges,et al.  The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. , 2003, Sleep.

[34]  P. Achermann,et al.  Sleep Homeostasis and Models of Sleep Regulation , 1999 .

[35]  D. Dinges,et al.  Vigilance decrement and sleepiness. , 1994 .

[36]  Bruce J. West,et al.  Chaos and fractals in human physiology. , 1990, Scientific American.

[37]  S. Daan,et al.  Accuracy of Human Circadian Entrainment under Natural Light Conditions: Model Simulations , 1999, Journal of biological rhythms.

[38]  Andrew J Belyavin,et al.  Modeling performance and alertness: the QinetiQ approach. , 2004, Aviation, space, and environmental medicine.

[39]  Michael Coplen,et al.  Fatigue models as practical tools: diagnostic accuracy and decision thresholds. , 2004, Aviation, space, and environmental medicine.

[40]  Mark R. Rosekind,et al.  Principles and Guidelines for Duty and Rest Scheduling in Commercial Aviation , 1996 .

[41]  Mark R. Rosekind,et al.  Crew Factors in Flight Operations. 8; A Survey of Fatigue Factors in Corporate/Executive A Viation Operations , 2000 .

[42]  Erik Olofsen,et al.  Nonlinear mixed-effects modeling: individualization and prediction. , 2004, Aviation, space, and environmental medicine.

[43]  Greg Maislin,et al.  Commentary on a model to predict work-related fatigue based on hours of work , 2004 .

[44]  D. Dawson,et al.  Enhancement of nighttime alertness and performance with bright ambient light , 1990, Physiology & Behavior.

[45]  J. Caldwell,et al.  Body posture affects electroencephalographic activity and psychomotor vigilance task performance in sleep-deprived subjects , 2003, Clinical Neurophysiology.

[46]  R. Kronauer,et al.  Interactive Mathematical Models of Subjective Alertness and Cognitive Throughput in Humans , 1999, Journal of biological rhythms.

[47]  P. Badia,et al.  Combination of bright light and caffeine as a countermeasure for impaired alertness and performance during extended sleep deprivation , 1997, Journal of sleep research.

[48]  Derk-Jan Dijk,et al.  Fatigue and performance models: general background and commentary on the circadian alertness simulator for fatigue risk assessment in transportation. , 2004, Aviation, space, and environmental medicine.

[49]  E. F. Colecchia,et al.  Individual differences in subjective and objective alertness during sleep deprivation are stable and unrelated. , 2003, American journal of physiology. Regulatory, integrative and comparative physiology.

[50]  Alexander Samel,et al.  Commentary on the interactive neurobehavioral model. , 2004, Aviation, space, and environmental medicine.

[51]  A. Borbély A two process model of sleep regulation. , 1982, Human neurobiology.

[52]  R. Kronauer,et al.  Dose-response relationship between sleep duration and human psychomotor vigilance and subjective alertness. , 1999, Sleep.

[53]  T. Åkerstedt,et al.  Towards the Prediction of Alertness on Abnormal Sleep/Wake Schedules , 1989 .