Fall Prediction
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.
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.
“We have developed a non-wearable sensor system that can measure walking patterns in the home, including gait speed and stride length,” said Marjorie Skubic, director of the MU Center for Eldercare and Rehabilitation Technology and professor of electrical and computer engineering. “Assessment of these functions through the use of sensor technology is improving coordinated health care for older adults”
To predict falls, researchers used data collected from sensor systems at TigerPlace, an innovative aging-in-place retirement residence, located in Columbia, Mo. The system generated images and an alert email for nurses indicating when irregular motion was detected. This information could be used to assist nurses in assessing functional decline, providing treatment and preventing falls.
“Aging should not mean that an adult suddenly loses his or her independence,” said Marilyn Rantz, Curators’ Professor Emerita of Nursing. “However, for many older adults the risk of falling impacts how long seniors can remain independent. Being able to predict that a person is at risk of falling will allow caretakers to intervene with the necessary care to help seniors remain independent as long as possible.”
Results from an analysis of the sensor system data found that a gait speed decline of 5 centimeters per second was associated with an 86.3 percent probability of falling within the following three weeks. Researchers also found that shortened stride length was associated with a 50.6 percent probability of falling within the next three weeks.
Additional research led by Rantz and Skubic recently received an award from Mather LifeWays ® Institute on Aging. Their research has found that by integrating care coordination and sensor technology at TigerPlace, residents are able to live independently on average of four years compared to the national average of 22 months.
Learn more: Sensor Systems Identify Senior Citizens at Risk of Falling Within Three Weeks
The Latest on: Predicting falls
[google_news title=”” keyword=”predicting falls” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Predicting falls
- Turkish lira falls to record low after mainstream economy tsar takes officeon June 7, 2023 at 4:16 am
The lira has lost more than 90 percent of its value in the past decade, after a series of crashes, the worst in late 2021. It hit new all-time lows of more than 20 to the dollar after the 28 May ...
- Predicting Auburn football's leaders in key stat categories in 2023on June 7, 2023 at 2:11 am
Who catches the most passes for Auburn football in 2023? What about sacks? Here's a prediction of the statistical leaders for the Tigers next season.
- Oregon snowpack falls below average after hottest May on recordon June 6, 2023 at 4:11 pm
Like water melting from a frozen peak and running into a stream, Oregon’s snowpack has been sliding downhill for the past several weeks.
- SI prediction ties Jefferson contract to Cousins departureon June 6, 2023 at 9:55 am
That's what Sports Illustrated's Conor Orr essentially wrote in his article about 100 bold NFL predictions for the 2023 season. One of his predictions says reports of Jefferson's contract extension ...
- Oil falls as economic fears overshadow Saudi output cuton June 6, 2023 at 12:40 am
Oil prices edged lower Tuesday, giving up most of the prior session's gains that followed an announcement by the Saudi Arabia that it would further cut output.
- Mortgage rates for June 5: Rates moderate, homebuying demand fallson June 5, 2023 at 2:44 pm
The wild mortgage rate rollercoaster continues to hurtle potential homebuyers up and down: Rates dipped back below 7% last week after zooming to their highest levels since November on May 26. The ...
- Top predictions for the leading crypto in June 2023 unveiledon June 4, 2023 at 12:42 pm
Due to its high return potential and innovative technological features, the crypto market has maintained its popularity among investors and enthusiasts. Thanks to the many changes made to the crypto ...
- Phillies vs. Nationals prediction: Stitches likes Zack Wheeler in this spoton June 2, 2023 at 12:00 pm
We backed Zack Wheeler last time out, and the Phillie made us look good by shutting out Atlanta for eight innings, striking out 12 Bravos. The Nats’ Josiah Gray got the quick hook in Kansas City. Gray ...
- Researchers at ASU team with HyperX to predict gamer stress and screen fatigueon June 2, 2023 at 4:37 am
New research from the adidas-ASU Center for Engagement Science shows an algorithm can predict when a gamer’s performance is about to take a downturn — and holds potential to help people everywhere who ...
- AI IDs 5 kinds of heart failure to guide risk prediction and treatmenton May 28, 2023 at 7:28 pm
Heart failure affects many millions globally but can be caused by multiple factors, requiring different treatments. Now, researchers have trained multiple machine learning models using a large, ...
via Bing News
