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Sensor Systems Identify Senior Citizens at Risk of Falling Within Three Weeks

 


ResearcherA sensor system developed and used by researchers at the University of Missouri produces images and sends automatic e-mail alerts that can be used to predict a fall within a three-week period. Photo courtesy of MU Center for Eldercare and Rehabilitation Technology.

A sensor system developed and used by researchers at the University of Missouri produces images and sends automatic e-mail alerts that can be used to predict a fall within a three-week period. Photo courtesy of MU Center for Eldercare and Rehabilitation Technology.
Download photo from the MU News Bureau

Story posted: Aug. 26, 2016

By: Sheena Rice

COLUMBIA, Mo. – Each year, millions of people—especially those 65 and older—fall. Such falls can be serious, leading to broken bones, head injuries, hospitalizations or even death.  Now, researchers from the Sinclair School of Nursing and the College of Engineering at the University of Missouri found that sensors that measure in-home gait speed and stride length can predict likely falls. This technology can assist health providers to detect changes and intervene before a fall occurs within a three-week period.