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2B-Alert Personalized Alertness and Cognitive Performance App

Mobile app learns user's response to sleep loss and caffeine intake to predict congitive performance

Software & Information Technology Medical & Biotechnology
The 2B-Alert app learns the user’s response to sleep and caffeine to provide predictions of alertness and cognitive performance that are up to 50% more accurate than competing solutions
The 2B-Alert app learns the user’s response to sleep and caffeine to provide predictions of alertness and cognitive performance that are up to 50% more accurate than competing solutions

The US Army Medical Research and Materiel Command’s Biotechnology High Performance Computing Software Applications Institute (BHSAI) has developed and validated the 2B-Alert mobile app which learns an individual user’s specific phenotypical responses to sleep loss and caffeine consumption and their impacts on the individual’s cognitive performance. The smartphone app contains proprietary algorithms that predict current and future alertness and cognitive performance based on a series of psychomotor vigilance task (PVT) tests and the individual’s sleep and caffeine intake data. 2B-Alert could be further developed to automatically log sleep data from fitness devices and generate sleep and caffeine schedules to optimize user performance for given times in the future.
Potential applications include student exam preparation, scheduling for the transportation industry (truckers, air traffic controllers, pilots, etc.), clinical and research studies involving sleep and caffeine, and planning for any activity where an individual or team needs to be performing at peak cognitive levels during a particular time period.

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