TY - GEN
T1 - A framework for cognitive monitoring using computer game interactions
AU - Jimison, Holly B.
AU - Pavel, Misha
AU - Bissell, Payton
AU - McKanna, James
PY - 2007
Y1 - 2007
N2 - Many countries are faced with a rapidly increasing economic and social challenge of caring for their elderly population. Cognitive issues are at the forefront of the list of concerns. People over the age of 75 are at risk for medically related cognitive decline and confusion, and the early detection of cognitive problems would allow for more effective clinical intervention. However, standard cognitive assessments are not diagnostically sensitive and are performed infrequently. To address these issues, we have developed a set of adaptive computer games to monitor cognitive performance in a home environment. Assessment algorithms for various aspects of cognition are embedded in the games. The monitoring of these metrics allows us to detect within subject trends over time, providing a method for the early detection of cognitive decline. In addition, the real-time information on cognitive state is used to adapt the user interface to the needs of the individual user. In this paper we describe the software architecture and methodology for monitoring cognitive performance using data from natural computer interactions in a home setting.
AB - Many countries are faced with a rapidly increasing economic and social challenge of caring for their elderly population. Cognitive issues are at the forefront of the list of concerns. People over the age of 75 are at risk for medically related cognitive decline and confusion, and the early detection of cognitive problems would allow for more effective clinical intervention. However, standard cognitive assessments are not diagnostically sensitive and are performed infrequently. To address these issues, we have developed a set of adaptive computer games to monitor cognitive performance in a home environment. Assessment algorithms for various aspects of cognition are embedded in the games. The monitoring of these metrics allows us to detect within subject trends over time, providing a method for the early detection of cognitive decline. In addition, the real-time information on cognitive state is used to adapt the user interface to the needs of the individual user. In this paper we describe the software architecture and methodology for monitoring cognitive performance using data from natural computer interactions in a home setting.
KW - Computer monitoring
KW - cognitive assessment
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M3 - Conference contribution
C2 - 17911880
AN - SCOPUS:35748935129
SN - 9781586037741
T3 - Studies in Health Technology and Informatics
SP - 1073
EP - 1077
BT - MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
PB - IOS Press
T2 - 12th World Congress on Medical Informatics, MEDINFO 2007
Y2 - 20 August 2007 through 24 August 2007
ER -