
"Smart clothing" aims to predict failing health
Researchers combine wearable technology & AI to predict the onset of health problems.
Researchers combine wearable technology & AI to predict the onset of health problems.
By Eugenia Xenos Anderson Faculty of Applied Health SciencesA team of ݮƵ 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 ݮƵ’s 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.
“The onset of a lot of chronic diseases, including type 2 diabetes and chronic obstructive pulmonary disease, has a direct impact on our aerobic fitness,” said Thomas Beltrame, who led the research while at the University of ݮƵ, and is now at the Institute of Computing in University of Campinas in Brazil. “In the near future, we believe it will be possible to continuously check your health, even before you realize that you need medical help.”
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.
Thomas Beltrame and Robert Amelard, the original lead-researcher and a co-author of the study (respectively)
Alex Wong and Richard Hughson,a co-author and a kinesiology professor/co-author to the study (respectively)
“The research found a way to process biological signals and generate a meaningful single number to track fitness,” said Richard Hughson, co-author and kinesiology professor at the Schlegel-University of ݮƵ Research Institute for Aging.
Beltrame and Hughson co-authored the study with Alexander Wong, Canada Research Chair in artificial intelligence and medical imaging and an engineering professor at ݮƵ. He is affiliated with both the ݮƵ Artificial Intelligence Institute and the Schlegel-University of ݮƵ Research Institute for Aging. Robert Amelard, of the Schlegel-University of ݮƵ Research Institute for Aging, is also a co-author. The study appears in the .“This multi-disciplinary research is a great example of how artificial intelligencecan be a potential game-changer for healthcare by turningdata into predictive knowledge to help healthcare professionals better understand an individual’s health,” said Wong. “It can have a significant impact on improving quality of life and well-being.”
Carré Technologies developed the smart shirts, called Hexoskin, 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.
Natalya Maisheva/GettyImages
Read more
ݮƵ expert discusses risks and protections as disease once eliminated in Canada makes a comeback
Read more
Meet six world-class researchers, alumni and students who are applying boundary-breaking approaches to redefine sports, recreation and tourism
Read more
ݮƵ researchers use machine learning to predict how new drugs could affect the body
The University of ݮƵ acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.