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University of Arizona researchers develop AI device to detect frailty in older adults

Using artificial intelligence to analyze gait data, the wearable device developed in Philip Gutruf's lab detects frailty, a common condition among the elderly and disabled known to cause falls and lead to hospitalization.
University of Arizona College of Engineering
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Using artificial intelligence to analyze gait data, the wearable device developed in Philip Gutruf’s lab detects frailty, a common condition among elderly and disabled people that can cause falls and lead to hospitalization.

Researchers at the University of Arizona have developed a wearable device to help care for older adults and better diagnose frailty.

Biomedical engineering professor Philipp Gutruf says the device is designed to address frailty, which can lead to falls and hospitalization.

The device is a mesh sleeve that can be worn on the leg and record motion. It incorporates AI, which reduces the need for large data transfers and frequent charging.

“So we have tested this technology on more than 20 people. So the devices, you can think about them as like a mesh that you wear over our sleeve, that you wear on your arm or your leg — in this particular case, the leg,” he said.

Gutruf says commercializing the device still requires further steps.

“In order to get this to the market, we need to still run a larger study with trying to gather resources at the moment to do that, where you involve, you know, hundreds of patients to test the efficacy and safety of the device on a large scale,” he said.

Gutruf says the goal is to make diagnosis more efficient.

The team’s study is published in the Nature Communications journal.

More news on aging from KJZZ

Ignacio Ventura is a reporter for KJZZ. He graduated from the University of Southern California with a bachelor’s degree in creative writing and a minor in news media and society.