MARGE SKUBIC: The work that we’re doing as part of theClosed Loop Healthcare, Smart America Challenge team, we’vebeen developing this in-home monitoring system that willdetect subtle changes in health with passive sensing. We’ve gota number of different sensing systems that we’ve developedover the years. And it all forms as clinical decision support How To Do On This Week’s Tidbit system so we look for very subtle changes in the sensordata that may indicate changes in health. This helps these people get the help they need early so that we can treat theseand address these health problems when they’re stillsmall, before they become catastrophic.
So we have anumber of different things that we’re detecting and it ranges,everything from very simple, passive infrared motion sensingthat detects motion in a particular area. We compute whatwe call a motion density, the measure of overall activity hi welcome to C@A we are here to take you memories to new feel of smarter and safer World with the world’… level. Then we also track gait, walking speeds, stride times,stride length. We look for subtle changes in those parameters as well. And we also have a bed sensor that capturespulse and respiration as well as restlessness in bed. We foundover the years that the bed sensor is actually quite key tobeing able to detect very early signs of health changes. We’vebeen deploying these over the years, in TigerPlace, which is asenior housing facility in Columbia, Missouri.
We’ve alsotested it in senior housing in Cedar Falls, Iowa throughanother NSF grant. I really wanted us to figure out how wecould take this in-home data and use it to inform the treatmentthat happens in a hospital. Likewise, whatever happens inthe hospital, we want to use that to inform how this datagets used when a person comes back into the home. And so wewanted to really close that loop. And that’s what we’ve donewith this whole process. ♫MUSIC♫