A team led by Bill Janes at the University of Missouri is testing a system that uses small in-home sensors and artificial intelligence for people with ALS. The sensors were first developed by Marjorie Skubic and Marilyn Rantz to monitor older adults living at home.
Sensors send signals through two small boxes and then transfer data securely to university systems. Researchers check that the sensor data match real changes in daily function. They plan to use machine learning to estimate a patient score on the ALS Functional Rating Scale Revised (ALSFRS-R).
Noah Marchal leads the data science work with advisor Xing Song. Early feedback from families has been positive, and researchers say the method could monitor other chronic conditions.
Difficult words
- sensors — small device that detects information at home
- artificial intelligence — computer systems that can learn and decide
- data — facts or information collected by devices or people
- monitor — watch or check something over time
- machine learning — computer method that learns from collected data
- chronic — lasting a long time or often returning
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- Would you want sensors in your home to check your health? Why or why not?
- How could this system help people with chronic conditions?
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