Reference health
Differentiating Active and Passive Fatigue with the use of Electroencephalography
12/12 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 12 checked references that resolve
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Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
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Establishing Appropriate Physiological Baseline Procedures for Real-Time Physiological Measurement
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Neurophysiological measures of cognitive workload during human-computer interaction
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Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework
resolves10.1016/j.apergo.2009.04.008
Sensitivity of candidate markers of psychophysiological strain to cyclical changes in manual control load during simulated process control
resolves10.1177/0018720814526617
Use of EEG Workload Indices for Diagnostic Monitoring of Vigilance Decrement
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Task engagement, cerebral blood flow velocity, and diagnostic monitoring for sustained attention.
resolves10.1016/j.trf.2008.11.005
Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies
resolves10.1037/14528-011
Neuroergonomic perspectives on human systems integration: Mental workload, vigilance, adaptive automation, and training.
resolves10.1037/a0034386
Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts.
resolves10.1037/12343-007
The urge to stop: The cognitive and biological nature of acute mental fatigue.
The 7 references without a DOI — listed, not checked
no DOI — not checkedB-Alert Live user manual
no DOI — not checkedbibr3-1071181319631106
no DOI — not checkedbibr4-1071181319631106
no DOI — not checkedStress, workload, and fatigue
no DOI — not checkedDiscovering statistics using R
no DOI — not checkedPinheiro J., Bates D., DebRoy S., Sarkar D. R Core Team. (2017). nlme: Linear and nonlinear mixed effects models. R package version 3.31-131. Retrieved from https://CRAN.R-project.org/package=nlme
no DOI — not checkedSantiago-Espada Y., Myer R. R., Latorella K. A., Comstock J.R.Jr (2011). The Multi-Attribute Task Battery II (MATB-II) software for human performanceand workload research: A user’s guide. Retrieved from: http://ntrs.nasa.gov/search.jsp?R=20110014456
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