Title :
Models of cognitive performance based on home monitoring data
Author :
Jimison, Holly B. ; McKanna, James ; Ambert, Kyle ; Hagler, Stuart ; Hatt, William J. ; Pavel, Misha
Author_Institution :
Depts. of Med. Inf. & Biomed. Eng., Oregon Health & Sci. Univ., Portland, OR, USA
fDate :
Aug. 31 2010-Sept. 4 2010
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.
Keywords :
biomechanics; cognition; computer games; diseases; medical computing; motion measurement; neurophysiology; patient monitoring; telemedicine; activity monitoring; adaptive computer games; cognitive exercise intervention effect monitoring; cognitive metrics; cognitive performance models; home monitoring data; motion sensors; neurologic condition management; Aging; Computational modeling; Computers; Games; Measurement; Monitoring; Visualization; Aged, 80 and over; Cognition; Factor Analysis, Statistical; Female; Home Care Services; Humans; Male; Models, Neurological; Monitoring, Ambulatory; Neuropsychological Tests; Task Performance and Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626277