CURRENT ISSUE
DECEMBER 2016
KINDLE EDITION



SEARCH JOURNAL ARCHIVES


SEARCH PUBMED


MANUSCRIPT SUBMISSIONS


SUBSCRIBE TO SLEEP

CONTINUING MEDICAL EDUCATION


ADVERTISE WITH US


ABOUT SLEEP

ABSTRACT SUPPLEMENTS


ACCEPTED PAPERS
Beginning January 1st 2017, SLEEP will be published by Oxford University Press. Unfortunately, that website is experiencing some technical issues. We expect to have them resolved shortly and apologize for your inconvenience. We will notify all subscribers once the problem is resolved and thank you for your patience.

Bookmark and Share         RSS Feed

VOLUME 39, ISSUE 12

SLEEP COGNITION AND BEHAVIOR
2B-Alert Web: An Open-Access Tool for Predicting the Effects of Sleep/Wake Schedules and Caffeine Consumption on Neurobehavioral Performance

http://dx.doi.org/10.5665/sleep.6318

Jaques Reifman, PhD1; Kamal Kumar, MS1; Nancy J. Wesensten, PhD2; Nikolaos A. Tountas, PhD1; Thomas J. Balkin, PhD3; Sridhar Ramakrishnan, PhD1

1Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Fort Detrick, MD; 2Air Traffic Organization, Federal Aviation Administration, Washington, DC; 3Behavioral Biology Branch, Walter Reed Army Institute of Research, Silver Spring, MD



  Expand  Table of Contents    
Text size:  

Study Objectives:

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.

Methods:

We combined our validated Unified Model of Performance and our validated caffeine model to form a single, integrated modeling framework instantiated as a Web-enabled tool. 2B-Alert Web allows users to input daily sleep/wake schedules and caffeine consumption (dosage and time) to obtain group-average predictions of neurobehavioral performance based on psychomotor vigilance tasks. 2B-Alert Web is accessible at: https://2b-alert-web.bhsai.org.

Results:

The 2B-Alert Web tool allows users to obtain predictions for mean response time, mean reciprocal response time, and number of lapses. The graphing tool allows for simultaneous display of up to seven different sleep/wake and caffeine schedules. The schedules and corresponding predicted outputs can be saved as a Microsoft Excel file; the corresponding plots can be saved as an image file. The schedules and predictions are erased when the user logs off, thereby maintaining privacy and confidentiality.

Conclusions:

The publicly accessible 2B-Alert Web tool is available for operators, schedulers, and neurobehavioral scientists as well as the general public to determine the impact of any given sleep/wake schedule, caffeine consumption, and time of day on performance of a group of individuals. This evidence-based tool can be used as a decision aid to design effective work schedules, guide the design of future sleep restriction and caffeine studies, and increase public awareness of the effects of sleep amounts, time of day, and caffeine on alertness.

Citation:

Reifman J, Kumar K, Wesensten NJ, Tountas NA, Balkin TJ, Ramakrishnan S. 2B-Alert Web: an open-access tool for predicting the effects of sleep/wake schedules and caffeine consumption on neurobehavioral performance. SLEEP 2016;39(12):2157–2159.

Expand  Table of Contents
Classifieds View SLEEP 2011 Poster Presentations Online