WILLIAMSTOWN — Pete Spencer and Diane Parsons are part of a new approach to spotting early signs of Alzheimer’s from the comfort of their homes. At a recent luncheon at the Harper Center for Senior Citizens, they learned about an innovative phone app designed to help track potential dementia indicators.
This initiative involves 200 participants nationwide, focusing on how our phones can detect subtle changes in behavior. Researchers at Dartmouth Medical School developed the app to analyze signals from walking patterns, speech, eye movement, and even the intensity of smiles.
Dr. Karen Fortuna, a community and family professor at Dartmouth, leads the research. She emphasizes that catching symptoms early could provide a crucial 10-year warning before major cognitive decline begins. Currently, most detection happens only two years before significant changes become apparent. “This early insight can motivate people to make lifestyle changes that may slow down dementia,” she explains.
The app, named RealVision, is designed to track user interactions. For example, it monitors changes in eye movement and typing speed. The aim is to empower families and caregivers to take action early. Fortuna notes, “We want to harness the support of loved ones to encourage testing.”
Participants like Spencer and Parsons are curious about their health. Spencer, 82, who once served as a Navy SEAL, expressed the importance of staying active and engaged. “It shouldn’t take something like this to live each day fully,” he shared after completing a series of app tests.
Parsons, 86, decided to join out of interest in her cognitive health. “I forget names and lose words; I want to see if these changes mean something,” she stated, reflecting on her motivation to participate.
During the testing, participants undergo a straightforward process. They fill out a medical history survey and then use the app to conduct tests on their walking and speaking. All data is processed on their phones, ensuring privacy. If the app indicates potential problems, users can be encouraged to seek clinical evaluations.
Dr. Fortuna has also highlighted that researchers are tapping into advanced technology to detect nuanced signals that might not be visible to the naked eye. “Computers can identify patterns in behavior over time, which helps in early awareness,” she explains. This could pave the way for a more proactive approach to cognitive health.
This study reflects a growing trend in health technology—using everyday devices to monitor health conditions. As of now, about 6 million people in the U.S. live with Alzheimer’s disease, and that number is expected to rise sharply. By integrating tech into health monitoring, initiatives like RealVision aim not only to identify problems earlier but also to foster discussions about cognitive well-being.
The insights from this research could significantly change how we approach cognitive health. By encouraging testing through familiar technology, we may empower individuals to take charge of their health before symptoms become pronounced.
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