Sensors increase ability to predict senior citizen falls

The Center for Eldercare and Rehabilitation Technology, led by Marjorie Skubic from the University of Missouri College of Engineering and Marilyn Rantz of the Sinclair School of Nursing, has provided several breakthroughs as part of its mission to help senior citizens stay in their homes longer via cutting-edge ways of monitoring their health. The latest collaborative research developed sensor systems that can predict increased risk of falls by measuring gait speed and stride length, allowing health professionals to potentially intervene before a fall occurs.

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