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Topic Name: Wireless Detectors for Dementia
Category: Networking
Research persons: William Kearns
Location: Florida, United States
Details
Researchers at the University of South Florida (USF) have developed a wireless network that evaluates walking patterns in an attempt to detect early signs of dementia.
Currently, doctors ask patients to answer a series of questions to determine whether they may be suffering from Alzheimer's or another form of dementia. But by the time a patient is diagnosed, she may have already begun to experience
symptoms such as memory loss. Drugs that are currently available can only slow the progression of related diseases, so the earlier dementia is caught, the better a patient's treatment will be.
Researchers are exploring ways to identify the condition earlier--for example, by detecting biomarkers, conducting new brain scans, or monitoring movements such as walking. The USF researchers have developed an RFID system that allows walking patterns to be monitored in a natural setting.
"We're looking at a device that may help us perform early detection [of dementia] as a way of ensuring that [older] people get the best remaining years they can," says William Kearns, an assistant professor of experimental
psychology at USF. In particular, dementia increases the risk of injury caused
by a fall. "That's a huge problem for assisted-living facilities," he says.
To test the approach, the USF researchers put RFID tags on the wrists of
residents at two assisted-living homes in Florida. These tags transmitted
signals that were picked up by receivers placed around each building, revealing
the wearer's movements in all three spatial dimensions to within 10 inches of
accuracy.
The researchers analyzed participants' movements for telltale signs of cognitive
decline: a tendency to wander, veer suddenly, or repeatedly pause. In a study
involving 20 residents the researchers found a statistical relationship between
those who showed abnormal walking patterns and those whose mental test scores
indicated dementia. In the future, the USF team plans to develop software that
will automatically detect these warning signs.
Others are exploring RFID technology as a low-cost way to improve elder care. In
2004, Intel launched a project that used passive RFID tags attached to objects
to monitor individuals' everyday activities. This approach can warn a caregiver
to check, for example, that a patient has taken his medicine that day. Other
systems, such as Accutech's ResidentGuard, send an alarm when users wearing an
RFID bracelet venture beyond a designated zone, in order to prevent those with
dementia from wandering.
Donald Patterson, a professor of informatics at the University of California,
Irvine, says that the USF approach is more straightforward that those designed
to monitor complex activities. "The more you get into the straight biological
measurements . . . the easier it becomes," he says.
The USF approach relies on highly accurate RFID equipment. The ultra-wideband (UWB)
chips used suffer less interference than do passive RFID chips and can send and
receive signals through walls. The transmitters have a range of 600 feet and
allow multiple people to be monitored even in a crowded room. The tags have
batteries that last up to three years and accelerometers that put them into
sleep mode when the user is motionless. According to Kearns, the entire system,
including half a dozen tags, costs around $7,000 to implement.
Tanzeem Choudhury, an Intel researcher who uses RFID to gather social
information, says that RFID technology is useful because it is so simple. "It's
great they're showing a correlation with these [RFID tags]," she says.
However, although walking patterns have been tied to dementia in previous
studies, some experts question the approach. "There are a lot of factors that
influence movement, and the disease in its very early stages is not a movement
disease," says Robert Green, codirector of the Alzheimer's Disease Clinical and
Research Program at Boston University. Green also points out that the USF
researchers only looked for post-symptomatic dementia in their test.
However, Lisa D'Ambrosio, a research scientist at MIT's AgeLab, believes that
the approach may be worth exploring. "It's a very interesting application of
RFID technology," she says. "One of the trends in a lot of the neurology work is
to move toward trying to diagnose Alzheimer's disease and cognitive impairment
earlier."
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