US Government As Represented by the Secretary of the Army

The Walter Reed Army Institute of Research

Nancy Jo Wesensten

Thomas J Balkin

Gregory L Belenky

Helen C Sing

Daniel P Redmond

Gary H Kamimori

Stanley W Hall

Maria L Thomas

David R Thorne

Jaques Reifman

Maxim Y Khitrov

Jianbo Liu

Sridhar Ramakrishnan

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.

Method and system for measuring, predicting, and optimizing human cognitive performance

An apparatus and a method for predicting cognitive performance of an individual based on factors including preferably sleep history and the time of day. The method facilitates the creation of predicted cognitive performance curves that allow an individual to set his/her sleep times to produce higher levels of cognitive performance. The method also facilitates the reconstruction of past cognitive performance levels based on sleep history.

Method and system for predicting human cognitive performance

A system and a method for providing a determination of predicted cognitive performance of an individual preferably based on the time of day and on factors including sleep history based on activity data from an actigraph. The system and the method provide a numerical representation of the predicted cognitive performance. Both may be used to optimize the work schedule of the actigraph wearer to maximize the cognitive capacity during working hours.

Method and system for predicting human cognitive performance using data from an actigraph

An apparatus and method for predicting cognitive performance of an individual based on factors including sleep history and the time of day. The method facilitates the creation of predicted cognitive performance curves that allow an individual to set his/her sleep times to produce higher levels of cognitive performance. The method also facilitates the reconstruction of past cognitive performance levels based on sleep history.

An apparatus and method for predicting cognitive performance of an individual based on factors including preferably sleep history, the time of day, and the individual's activities. The method facilitates the creation of predicted cognitive performance curves that allow an individual to set his/her sleep times to produce higher levels of cognitive performance. The method also facilitates the reconstruction of past cognitive performance levels based on sleep history.

A system and a method for providing a determination of predicted cognitive performance of an individual preferably based the time of day and on factors including sleep history based on activity data from an actigraph and the individual's activities. The system and the method provide a numerical representation of the predicted cognitive performance. Both may be used to optimize the work schedule of the actigraph wearer to maximize the cognitive capacity during working hours.

System and method for predicting human cognitive performance using data from an actigraph

Method for predicting human cognitive performance

A system and a method for providing a determination of predicted cognitive performance of an individual based the time of day and on factors including sleep history based on activity data from an actigraph. The system and the method provide a numerical representation of the predicted cognitive performance. Both may be used to optimize the work schedule of the actigraph wearer to maximize the cognitive capacity during working hours.

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Silver Spring, MD, United States of America

Nancy Jo Wesensten