Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), Portland, Oregon, 2011

The ISAAC study developed methods of continuously assessing behaviors of seniors living independently in the community, with the ultimate goal of identifying trends in behavior and activity measures that would be predictive of a later transition to Mild Cognitive Impairment. Homes of participants were instrumented with wireless motion and door sensors, which captured movements throughout the home as they occurred. Participants were monitored continuously for about three years. Participants were also evaluated annually with a full clinical and neuropsychological battery of tests. Algorithms were developed to derive measures of motor activity (median walking speed, number of walks along a chosen path in the home, time spent out of the home, number of room transitions), measures of computer use (number of computer sessions and total time spent on the computer), and measures of nighttime activity (sleep latency, total time in bed, number of bathroom visits at night, motion in bed at night, etc.).