@inproceedings{68f4fd10c0b34c4e8a9cfc3ef1c1010e,
title = "Models of cognitive performance based on home monitoring data",
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.",
author = "Jimison, {Holly B.} and James McKanna and Kyle Ambert and Stuart Hagler and Hatt, {William J.} and Misha Pavel",
year = "2010",
doi = "10.1109/IEMBS.2010.5626277",
language = "English (US)",
isbn = "9781424441235",
series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
pages = "5234--5237",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
note = "2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",
}