US Government As Represented by the Secretary of the Army

Other

The Walter Reed Army Institute of Research

Daniel P Redmond

Gregory L Belenky

Thomas J Balkin

Helen C Sing

Gary H Kamimori

Stanley W Hall

Maria L Thomas

David R Thorne

Nancy Jo Wesensten

Michael B Russo

Alexander H Vo

Robert Conlan

Nacy Jo Wesensten

This invention relates to the detection of human biovibrations using a digital signal processing (DSP) actigraph worn by the individual, and in at least one method using any noise existing in the signals. Human biovibrations result from the human body having reverberations and oscillations from bodily functioning. The DSP actigraph has been shown to be able to identify heart beat and breathing of an individual. The invention includes a method comprising: recording movement data of an individual that includes biovibrations data, determining when the movement data substantially falls within a predetermined threshold representative of death, and providing a notification. The invention in at least one embodiment includes a method comprising: monitoring activity counts for zero crossing mode, above threshold mode, and proportional integrative mode, providing a notification when all three activity counts are within a respective predetermined range for a period of time.

Human biovibrations method

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 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 congnitive performance

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

Daniel P Redmond