Title: “Making Medical Assessments Available and Objective Using Smartphone Sensors”
Dr. Alex Mariakakis
Assistant Professor
Department of Computer Science
University of Toronto
Date: Friday, April 22, 2022 | 1pm – 2pm EDT
Join Zoom Meeting: https://ryerson.zoom.us/j/96382801005?pwd=eHhoQWIyWnA0MmxGMjdpRGRJT3ZCZz09
Host: Dr. Venkat Bhat
LECTURE TAKEAWAYS:
- People can notice symptoms on their own using their human senses, but the sensors embedded in everyday devices like smartphones can make these observations more accurately, precisely and objectively.
- Understand how we can use a smartphone’s camera and flash to recreate the penlight test that EMTs use to triage potential cases of traumatic brain injury.
- Learn about how smartphone cameras can be used to measure the colour of a person’s sclera, which can be used to detect cases of jaundice that may be indicative of pancreatic issues.
BIOGRAPHY
Dr. Alex Mariakakis is an Assistant Professor in the Department of Computer Science at the University of Toronto and an Affiliate Scientist at Techna. He is also a fellow of the mHealth Training Institute. He runs the Computational Health and Interaction (CHAI) lab, which leverages ubiquitous and emergent technologies to address problems related to people’s health and well-being. His research not only creates new sensing technologies for measuring physiological, behavioral and contextual health indicators, but also examines the implications of these technologies in people’s hands. Dr. Mariakakis received his PhD from the School of Computer Science and Engineering at the University of Washington. As a student, he was a recipient of the National Science Foundation Graduate Research Fellowship, the Qualcomm Innovation Fellowship and the Gaetano Borriello Outstanding Student Award at UbiComp 2018.
No sign-up required. For more information contact the iBEST Coordinator (ibest@ryerson.ca).
