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IATSL develops assistive technology that is adaptive, flexible, and intelligent, enabling users to participate fully in their daily lives. Learn more about our research

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Derek Zhi

Research Assistant

Toronto Rehabilitation Institute

derek.zhi@mail.utoronto.ca

(416) 946-8573


Biography

Derek completed his bachelor's degree in Electrical Engineering and master's in biomedical engineering. He's interested in technology in healthcare, and his research focuses on biosignal processing and machine learning. His master's thesis was on analysing upper airway narrowing based on non-invasive recording of nasal airflow.

After graduation in 2016, Derek pursued further research activities at IATSL. He implemented a system that monitors gait and balance of dementia patients using non-obtrusive regimes. The results will be used to predict the risks of fall. In addition, he worked on using computer vision to detect postures during stroke rehab exercises. The research findings will be translated into algorithms that improve the exercise efficiency and outcome.


Publications

Elham Dolatabadi, Ying Xuan Zhi, Bing Ye, Marge Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie Wang, Babak Taati, 2017, "The Toronto Rehab Stroke Pose Dataset to Detect Compensation during Stroke Rehabilitation Therapy", Pervasive Health, Barcelona, Spain