Deep Analysis of Cumulative Sleep
We know intuitively that a lack of sleep causes fatigue, but knowing one’s sleep quantity is only one of the many factors necessary in order to create an accurate fatigue prediction.
Accordingly, the SAFTE Fatigue Model accounts for a robust array of relevant sleep factors, including acute sleep interruptions, cumulative sleep debt, and the consistency of sleep onset and wake times, and circadian disruptions that influence a change in cognitive function.
ReadiScore: Hour-by-Hour Fatigue Prediction
The ReadiScore is the SAFTE Model’s output, a prediction of hour-by-hour changes in cognitive effectiveness, reaction time, and lapse likelihood throughout the course of the day or night. Fatigue progresses in a predictable manner, and the SAFTE Model considers not only cumulative sleep history, but also factors such as the internal body-clock and and seasonal light exposure based on one’s general geographic location.
Lab-Validated Predictor of Reaction Time and More
Extensive biomathematical research, including work relied on by the U.S. Dept. of Transportation, has found that ReadiScores reliably indicate human impairment in terms of reaction time and the comparable effects of alcohol.
Real-World Validation: Predict Operator Safety & Performance
The ReadiScore has not only been validated in the lab — it has also been proven in real-world industrial environments as a predictor of operator safety and performance. Seven separate studies are shown here, including many using telematics data.
The studies uniformly affirm that operator safety and performance suffers when one’s ReadiScore indicates high levels of predicted fatigue.
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