“If this works, the potential impact will be huge because there are no long-term rehabilitation harnesses available on the market today,” said Dr. Julia Montgomery (Med Vet, PhD) at USask’s Western College of Veterinary Medicine, who leads the research.
The horse industry contributes more than $19 billion annually to the Canadian economy, according to a 2010 study by Equestrian Canada, and is responsible for more than 80,000 full-time jobs on farms and in horse racing and competitions.
Research is essential in the natural products space, where consumers need evidence that products are effective and safe.
But for a small company, doing research isn’t simple. Projects and lab equipment are costly. It’s difficult to find and attract specialized talent. Making connections and fostering relationships between industry and academia is invaluable for a small company like Bend, which wants to maintain leading-edge work.
The new tool uses a deep-learning computer vision system and motion-classification algorithms to capture events such as falls in real time, alert caregivers and give health-care professionals the information they need for immediate triage.
The system—developed in part by the Multimedia Research Centre led by Irene Cheng in the Department of Computing Science—transfers real-time video to an autonomous computer vision lockbox. If an event is detected, the system alerts a specified caregiver and provides a redacted video of the event.
Norman called up his friend Mark Nathan, a cardiologist.
“We put our heads together to develop the concept further,” said Dr. Nathan. “We were inspired by the idea of a cardiac stent, which is a sterile device used in heart surgery to allow arterial blood flow in patients with heart disease. Stents are different in all the important respects from what we had in mind, however; as with stents, we wanted to create sleeve-like scaffolds that can wrap around a stud, contain and release effective medication, dissolve predictably, and disappear.”
The app will use audio stories, such as podcasts, to enable users to communicate and feel as if they are doing the same activity at the same time, even though the activity might be taking place at different times in different places. For example, a mother and daughter living in different cities can hike together, with the mother initiating the story during her earlier hike and the daughter able to listen to her mother’s account while she herself goes for a hike.
Wendlasida Ouedraogo is part of a research team at École Polytechnique de Montréal that is developing the next generation of computer vision software, which automates visual tasks, to help civil engineers and city planners get ahead of construction demand.
Now, a research team at the École de technologie supérieure is developing a technology-based solution to help nurses and doctors distinguish important signals in the ICU: a ‘smart’ earplug for hospital care practitioners. This summer, they’ve engaged an international research intern — through a Mitacs Globalink internship — to help bring the technology one step closer to a care unit near you.
A research team at the Université du Québec à Chicoutimi has asked just that, and are developing a ‘smart’ insole for shoes that will be able to provide navigational feedback — such as a pulse or vibration — to the wearer. Having already built a prototype, this summer they’ve engaged an international research intern for her insight into smart fabrics that could bring it one step closer to reality.