Models of cognitive performance based on home monitoring data.

Holly B. Jimison, James McKanna, Kyle Ambert, Stuart Hagler, William J. Hatt, Misha Pavel

Research output: Contribution to journalArticle

Abstract

Modeling cognitive performance using home monitoring data is a new approach to managing neurologic conditions and for monitoring the effects of cognitive exercise interventions. The data consists of activity monitoring from motion sensors and specific cognitive metrics embedded within our adaptive computer games. The frequency and continuity of data collection allows us to analyze within subject trends of cognitive performance and to assess day to day variability. This approach provides a framework for clinicians and care managers to have the potential of detecting patients' cognitive problems early and to have timely feedback on treatment interventions.

Original languageEnglish (US)
Pages (from-to)5234-5237
Number of pages4
JournalConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
StatePublished - 2010
Externally publishedYes

Fingerprint

Video Games
Nervous System
Exercise
Monitoring
Computer games
Managers
Therapeutics
Feedback
Sensors

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Models of cognitive performance based on home monitoring data. / Jimison, Holly B.; McKanna, James; Ambert, Kyle; Hagler, Stuart; Hatt, William J.; Pavel, Misha.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2010, p. 5234-5237.

Research output: Contribution to journalArticle

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