Sensors capable of analyzing speed and stride length could predict the risk of falls in seniors within three weeks, depending on the results of a study published in the medical journal Western Journal of Nursing Research. An effective prevention tool to combat one of the most frequent health hazards for the elderly.
Predicting the risk of falls to improve the health of seniors
Researchers at the University of Missouri-Columbia in the United States have developed sensors that measure gait speed and stride length to predict the risk of falls. This technology can help healthcare professionals detect changes and intervene before a fall occurs within three weeks. A solution for the millions of people, especially those aged 65 and over, who suffer these falls which can be serious, leading to fractures, head traumahospitalizations and even death.
To predict falls, the researchers used data collected from sensor systems in a nursing home. The system generated images and an alert message for nurses indicating when irregular movement was detected.
The results of their experiment showed that a decrease in walking speed of 5 centimeters per second is associated with an 86% risk of falling within 3 weeks.
Scientists have also observed that shortening of stride length is linked to a 50% risk of falling, also within 3 weeks.
“We have developed a sensing system that can measure walking patterns around the house, including walking speed and stride length,” said Marjorie Skubic, University principal and professor of electrical engineering. and informatics.” Assessing these functions improves coordinated health care for seniors“
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