OHSU

Validation of In-Home Sensor Data: Application of the Day Reconstruction Method to a Cohort of Monitored Elders


Investigator: Katherine Wild
Affiliation: OHSU Neurology
Funding Period: 2009 - 2010
Funding Source:
View related topics

An assumption of in-home monitoring is that activities and behaviors of interest are accurately captured by systematically placed sensors. However, retrospective self-reports of significant events have been shown to be inaccurate in a variety of populations. Therefore, verification of sensor data currently relied on a less than perfect gold standard. The purpose of this protocol is to use the Day Reconstruction Method (DRM) as a methodology for the validation of continuously collected in-home sensor data. Additionally, DRM may provide information about otherwise undetected activities or behaviors that can be of interest in the prediction of cognitive decline. The results of this study will help us design future technologies and methods to improve people’s quality of life as they grow older in a variety of environments.