Category: News

Wearable technology continuously monitors heart-rate recovery to predict risk

Graduate students demonstrating smartshirt used in study.

The time it takes the heart to return to its baseline rhythm after exercise can predict a host of cardiovascular or metabolic disorders. In a new study, scientists at the University of Illinois Urbana-Champaign used a “smart shirt” equipped with an electrocardiogram to track participants’ heart-rate recovery after exercise and developed a tool for analyzing the data to predict those at higher or lower risk of heart-related ailments…

Anxiety research leverages computational resources and support on campus

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What if you could create a system that used machine learning to better monitor anxiety? Such a tool would be extremely useful for doctors and patients. Anxiety comes in varying degrees of severity, and knowing exactly what triggers anxiety would make it easier for doctors to determine the best treatment while also providing patients valuable knowledge to help them navigate the world without triggering these extreme emotional responses to certain stimuli. Researchers from the University of Illinois Urbana-Champaign (UIUC) are trying to create just such a tool. To read more, click here.

Team uses digital cameras, machine learning to predict neurological disease

team members
team members
Richard (Rich) Sowers, Professor of ISE & Mathematics, far left, Rachneet Kaur, graduate student, center, and Manuel Hernandez, Professor of Kinesiology and Community Health, have worked together using computer analysis and deep learning on motion capture of the gait patterns of Parkinsons’ Disease and Multiple Sclerosis patients walking on a treadmill as a potential diagnostic tool.
Mobility and Fall Prevention Research Laboratory (MFPRL)
209 Freer Hall
906 S. Goodwin Avenue
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217-300-3080
College of Applied Health Sciences

Department of Health and Kinesiology