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ABSTRACT: Background
One-third of the US population experiences sleep loss, with the potential to impair physical and cognitive performance, reduce productivity, and imperil safety during work and daily activities. Computer-based fatigue-management systems with the ability to predict the effects of sleep schedules on alertness and identify safe and effective caffeine interventions that maximize its stimulating benefits could help mitigate cognitive impairment due to limited sleep. To provide these capabilities to broad communities, we previously released 2B-Alert Web, a publicly available tool for predicting the average alertness level of a group of individuals as a function of time of day, sleep history, and caffeine consumption.Objective
In this study, we aim to enhance the capabil
SUBMITTER: Reifman J
PROVIDER: S-EPMC8832274 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature