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The Fatigue Avoidance Scheduling Tool (FAST) was developed by the United States Air Force in 2000–2001 to address the problem of aircrew fatigue in aircrew flight scheduling. [2] FAST is a Windows program that allows scientists, planners and schedulers to quantify the effects of various work-rest schedules on human performance.
The computer vision system utilises an unobtrusive dashboard mounted camera and two infra-red illumination sources to detect and track the facial features of the operator. The system analyses eye closures and head poses to determine early onset of fatigue and distraction. The fatigue detection algorithm calculates AVECLOS.
Post-exertional malaise (PEM), sometimes referred to as post-exertional symptom exacerbation (PESE) [1] or post-exertional neuroimmune exhaustion (PENE), [2] is a worsening of symptoms that occurs after minimal exertion. It is the hallmark symptom of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and common in long COVID and ...
Management of ME/CFS (myalgic encephalomyelitis/chronic fatigue syndrome) focuses on symptoms management, as no treatments that address the root cause of the illness are available. [ 1 ] : 29 Pacing, or regulating one's activities to avoid triggering worse symptoms, is the most common management strategy for post-exertional malaise .
The first piece of information added in an FMEDA is the quantitative failure data (failure rates and the distribution of failure modes) for all components being analyzed. The second piece of information added to an FMEDA is the probability of the system or subsystem to detect internal failures via automatic on-line diagnostics.
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