Advisory: Give yourself extra time when travelling by car to Toronto General Hospital, Princess Margaret Cancer Centre, or Toronto Rehab University Centre. City of Toronto construction on University Ave. may cause delays.
At UHN, we strive to deliver Compassionate Care & Caring. Learn more about the services and supports that are available to you throughout your journey.
Our UHN programs and services are among the most advanced in the world. We have grouped our physicians,
staff, services and resources into 10 medical programs to meet the needs of our patients and help us make
the most of our resources.
At the heart of everything we do at UHN are our Healthcare Professionals. Refer a patient to one of our 12 medical programs. Learn more about the resources and opportunities available for professional growth.
University Health Network has grown to be one of the largest research and teaching hospital networks in Canada - pioneers in improving the lives of patients. Our long history of health professions education at Toronto General, Toronto Western, Princess Margaret and Toronto Rehab hospitals has consistently advanced the science of education.
University Health Network is a health care and medical research organization in
Toronto, Ontario, Canada. The scope of research and complexity of cases at UHN has made us a national and international
source for discovery, education and patient care.
Being touched by illness affects us in different ways. Many people want to give back to the community
and help others. At UHN, we welcome your contribution and offer different ways you can help so you can find one that suits you.
The Newsroom is the source for media looking for information about UHN or trying to connect with one
of our experts for an interview. It's also the place to find UHN media policies and catch up on our news stories, videos, media releases,
podcasts and more.
As the popularity of virtual reality (VR) increases across all sectors, including healthcare, some people might be left behind. This is because certain individuals are prone to experiencing visually induced motion sickness (VIMS), a special form of motion sickness.
New research is revealing that VR can help patients manage chronic pain, anxiety, phobia and depression. It can also help them to recover after physical injury through VR-based rehabilitation.
"Motion sickness in VR is a concern because it can limit individuals from receiving these benefits," says Dr. Behrang Keshavarz, a scientist at UHN's KITE Research Institute.
Dr. Keshavarz led a research team, along with fellow KITE scientist, Dr. Babak Taati, to find ways to detect and predict the early onset of VIMS.
Many of the symptoms of VIMS, such as nausea, disorientation, and fatigue are hard to objectively quantify and assess. The body does provide some clues: motion sickness changes heart rate and breathing. It can also cause stomach churning.
However, researchers have not yet identified a pattern to these changes that can predict VIMS.
To address this problem, the team used their expertise in machine learning. They set out to identify measurable physiological patterns that could potentially detect the early stages of VIMS or even predict which people are vulnerable to it.
A group of 56 volunteers were equipped with a variety of sensors that monitored their breathing, heart activity, sweating response, body and facial skin temperature, body movement, and the electrical activity from their digestive system.
They were then exposed to a first-person video of a bicycle ride, which causes VIMS in the majority of people. Changes in the skin temperature of the face and the amount of the participants' body movement were the best indicators for VIMS – physiological changes that are fortunately easy to measure non-invasively.
Unfortunately, the degree of accuracy that the machine learning models achieved were not high enough to be used as a sole measure of VIMS: it would correctly identify approximately 70 per cent of those who had motion sickness, while mistakenly flagging 30 per cent of those who did not experience motion sickness as being at risk.
"These results are a first step," concludes Dr. Keshavarz. "While our results identified physiological measures that are closely linked to the onset of VIMS, we also discovered that the physiological measures that we tested are not sufficient to make definite predictions.
"To increase our predictive power, our future work will explore the use of facial skin temperature and other measures that have been under-studied in evaluating motion sickness."
To learn more about how UHN researchers are using virtual reality to address health issues visit the
Prescribing VR website.
This work was supported by Faurecia and UHN Foundation. Dr. Behrang Keshavarz is an adjunct professor with the Department of Psychology at Toronto Metropolitan University. Dr. Babak Taati is an assistant professor in the Institute of Biomedical Engineering at the University of Toronto.