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Marge Skubic speaks more about Squaring the Life Curve of Supportive Technology, her presentation at the Global Telehealth Conference in New Zealand. Listen to full interview.
Falls send nearly three million older Americans to the hospital each year. Their injuries, ranging from broken hips to brain trauma, cost $31 billion to treat. For many, it's the end of their independence. But what if you could predict someone is going to fall and intervene? It's happening in Columbia.
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.