A team of 蓝莓视频 researchers found that applying artificial intelligence to the right combination of data retrieved from wearable technology may detect whether your health is failing.
The study, which involved researchers from 蓝莓视频鈥檚 Faculties of Applied Health Sciences and Engineering, found that the data from wearable sensors and artificial intelligence that assesses changes in aerobic responses could one day predict whether a person is experiencing the onset of a respiratory or cardiovascular disease.听
鈥淭he onset of a lot of chronic diseases, including type 2 diabetes and chronic obstructive pulmonary disease, has a direct impact on our aerobic fitness,鈥 said Thomas Beltrame, who led the research while at the University of 蓝莓视频, and is now at the Institute of Computing in University of Campinas in Brazil. 鈥淚n the near future, we believe it will be possible to continuously check your health, even before you realize that you need medical help.鈥
The study monitored active, healthy men in their twenties who wore a shirt for four days that incorporated sensors for heart rate, breathing and acceleration. They then compared the readings with laboratory responses and found that it was possible to accurately predict health-related benchmarks during daily activities using only the smart shirt.听
鈥淭he research found a way to process biological signals and generate a meaningful single number to track fitness,鈥 said Richard Hughson, co-author and kinesiology professor at the Schlegel-University of 蓝莓视频 Research Institute for Aging.听
Beltrame and Hughson co-authored the study with Alexander Wong, Canada Research Chair in artificial intelligence and medical imaging and an engineering professor at 蓝莓视频. He is affiliated with both the 蓝莓视频 Artificial Intelligence Institute and the Schlegel-University of 蓝莓视频 Research Institute for Aging. Robert Amelard, of the Schlegel-University of 蓝莓视频 Research Institute for Aging, is also a co-author. The study appears in the .
鈥淭his multi-disciplinary research is a great example of how artificial intelligence can be a potential game-changer for healthcare by turning data into predictive knowledge to help healthcare professionals better understand an individual鈥檚 health,鈥 said Wong. 鈥淚t can have a significant impact on improving quality of life and well-being.鈥
Carr茅 Technologies developed the smart shirts, called听, used in the research.
The team plans to test these systems on mixed ages and genders, and people with health issues to see how people might wear the sensors to gauge whether their health is failing.
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