2B-AlertWeb: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral Performance | Zendy

Jaques Reifman | Zendy; Kamal Kumar | Zendy; Nancy J. Wesensten | Zendy; Nikolaos Tountas | Zendy; Thomas J. Balkin | Zendy; Sridhar Ramakrishnan | Zendy

Open Access

2B-AlertWeb: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral Performance

Author(s) -

Jaques Reifman,

Kamal Kumar,

Nancy J. Wesensten,

Nikolaos Tountas,

Thomas J. Balkin,

Sridhar Ramakrishnan

Publication year - 2016

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.5665/sleep.6318

Subject(s) - computer science , sleep restriction , vigilance (psychology) , psychomotor vigilance task , web application , sleep loss , sleep deprivation , machine learning , simulation , operating system , cognition , medicine , psychology , cognitive psychology , psychiatry

Computational tools that predict the effects of daily sleep/wake amounts on neurobehavioral performance are critical components of fatigue management systems, allowing for the identification of periods during which individuals are at increased risk for performance errors. However, none of the existing computational tools is publicly available, and the commercially available tools do not account for the beneficial effects of caffeine on performance, limiting their practical utility. Here, we introduce 2B-Alert Web, an open-access tool for predicting neurobehavioral performance, which accounts for the effects of sleep/wake schedules, time of day, and caffeine consumption, while incorporating the latest scientific findings in sleep restriction, sleep extension, and recovery sleep.

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