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JUSTIN CHEE

Photo of Justin CheePhD Candidate

IBBME (University of Toronto, Rehabilitation Sciences Institute)

justin.chee@
mail.utoronto.ca

(416) 807-0510

 

 


Biography

Justin Chee is a Doctoral candidate at the University of Toronto, completing his studies at the Rehabilitation Sciences Institute and Institute of Biomaterials & Biomedical Engineering. He completed his Master of Science in 2011 at the University of Toronto in fields of Rehabilitation Science and Neuroscience. In his Master’s thesis, Justin developed a novel algorithm with which to quantify the foot placement patterns of rollator users using camera-based computer vision technology, such that gait parameters can be assessed objectively outside of a laboratory environment.

Justin is a recipient of the Multiple Sclerosis Society of Canada Doctoral Studentship Award for three consecutive years (2013-2016) as well as the NSERC-CREATE Collaborative Academic Rehabilitation Engineering Scholarship for the two preceding years (2011-2013). In his Doctoral dissertation, Justin explores how the mobility of individuals with multiple sclerosis can be enhanced by augmenting assistive mobility devices with biofeedback gait training capabilities. He is developing an instrumented rollator that aims to improve the everyday lives of individuals with multiple sclerosis (MS) by: 1) automatically-detecting changes in their walking patterns and brain function; 2) providing feedback to users about their stability in order to stimulate mobility improvements; and 3) improving how these individuals integrate into their communities by facilitating better communication with local health services. The expected outcome of this work is a new and improved mobility aid that can be utilized by members of the MS community to help them enhance their safe mobility and prolong their independence.


Publications

Chee, J. N., Gage, W. H., McIlroy, W. E., & Zabjek, K. F. (2012). Foot placement patterns of female rollator users with multiple sclerosis in the community. Disability and Rehabilitation, 35(1), 27–35. http://doi.org/10.3109/09638288.2012.687028

How, T., Chee, J., Wan, E., & Mihailidis, A. (2013) MyWalk: A Mobile App for Gait Asymmetry Rehabilitation in the Community. Short paper accepted for the 7th International Conference on Pervasive Computing Technologies for Healthcare, Venice, Italy.

Tung, J. Y., Chee, J. N., Zabjek, K. F., & McIlroy, W. E. (2015). Combining ambulatory and laboratory assessment of rollator use for balance and mobility in neurologic rehabilitation in-patients. Disability and Rehabilitation: Assistive Technology, 10(5), 407–414. http://doi.org/10.3109/17483107.2014.908243

Chee, J., Gage, W., McIlroy, W., & Zabjek, K. (2015). Development of a video-based technique for ambulatory monitoring of foot placement with an instrumented rollator. Journal of Rehabilitation Medicine, 47(3), 273–277. http://doi.org/10.2340/16501977-1907

Komisar, V., Ohri, O., King, E., Moore, E., Hassan, S., Marquis, A., Chee, J., Wang, R., Mathur, S., Dutta, T., & Marquez-Chin, C. (2015) "Rehabilitation Engineering: Designing for Ability" - A summer outreach course for attracting talented high school students to the rehabilitation engineering field. Peer-reviewed conference paper accepted as a podium presentation for the IUPESM World Congress on Medical Physics and Biomedical Engineering, Toronto, Canada.