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.
authors.affiliation: Departments of Medical Informatics and Biomedical Engineering at Oregon Health & Science University, Portland, 97239 USA.
authors.forename: Holly B
authors.initials: HB
authors.lastname: Jimison
authors.forename: James
authors.initials: J
authors.lastname: McKanna
authors.forename: Kyle
authors.initials: K
authors.lastname: Ambert
authors.forename: Stuart
authors.initials: S
authors.lastname: Hagler
authors.forename: William J
authors.initials: WJ
authors.lastname: Hatt
authors.forename: Misha
authors.initials: M
authors.lastname: Pavel
mesh_terms: D000369:Aged, 80 and over; D003071:Cognition / Q000502:physiology*; D005163:Factor Analysis, Statistical; D005260:Female; D006699:Home Care Services; D006801:Humans; D008297:Male; D008959:Models, Neurological; D018670:Monitoring, Ambulatory / Q000379:methods*; D009483:Neuropsychological Tests; D013647:Task Performance and Analysis