TY - JOUR
T1 - Intelligent Systems For Assessing Aging Changes
T2 - home-based, unobtrusive, and continuous assessment of aging.
AU - Kaye, Jeffrey A.
AU - Maxwell, Shoshana A.
AU - Mattek, Nora
AU - Hayes, Tamara L.
AU - Dodge, Hiroko
AU - Pavel, Misha
AU - Jimison, Holly B.
AU - Wild, Katherine
AU - Boise, Linda
AU - Zitzelberger, Tracy A.
PY - 2011/7
Y1 - 2011/7
N2 - To describe a longitudinal community cohort study, Intelligent Systems for Assessing Aging Changes, that has deployed an unobtrusive home-based assessment platform in many seniors homes in the existing community. Several types of sensors have been installed in the homes of 265 elderly persons for an average of 33 months. Metrics assessed by the sensors include total daily activity, time out of home, and walking speed. Participants were given a computer as well as training, and computer usage was monitored. Participants are assessed annually with health and function questionnaires, physical examinations, and neuropsychological testing. Mean age was 83.3 years, mean years of education was 15.5, and 73% of cohort were women. During a 4-week snapshot, participants left their home twice a day on average for a total of 208 min per day. Mean in-home walking speed was 61.0 cm/s. Participants spent 43% of days on the computer averaging 76 min per day. These results demonstrate for the first time the feasibility of engaging seniors in a large-scale deployment of in-home activity assessment technology and the successful collection of these activity metrics. We plan to use this platform to determine if continuous unobtrusive monitoring may detect incident cognitive decline.
AB - To describe a longitudinal community cohort study, Intelligent Systems for Assessing Aging Changes, that has deployed an unobtrusive home-based assessment platform in many seniors homes in the existing community. Several types of sensors have been installed in the homes of 265 elderly persons for an average of 33 months. Metrics assessed by the sensors include total daily activity, time out of home, and walking speed. Participants were given a computer as well as training, and computer usage was monitored. Participants are assessed annually with health and function questionnaires, physical examinations, and neuropsychological testing. Mean age was 83.3 years, mean years of education was 15.5, and 73% of cohort were women. During a 4-week snapshot, participants left their home twice a day on average for a total of 208 min per day. Mean in-home walking speed was 61.0 cm/s. Participants spent 43% of days on the computer averaging 76 min per day. These results demonstrate for the first time the feasibility of engaging seniors in a large-scale deployment of in-home activity assessment technology and the successful collection of these activity metrics. We plan to use this platform to determine if continuous unobtrusive monitoring may detect incident cognitive decline.
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U2 - 10.1093/geronb/gbq095
DO - 10.1093/geronb/gbq095
M3 - Article
C2 - 21743050
AN - SCOPUS:80052908181
SN - 1079-5014
VL - 66 Suppl 1
SP - i180-190
JO - The journals of gerontology. Series B, Psychological sciences and social sciences
JF - The journals of gerontology. Series B, Psychological sciences and social sciences
ER -