Ying Xuan Zhi

Yingxuan Zhi received the BASc degree in Electrical and Computer Engineering from the University of Waterloo and the MHSc degree in Clinical Engineering from the University of Toronto. He is a Research Engineer at the Toronto Rehabilitation Institute – University Health Network where he engaged in several research projects in sleep, dementia, and stroke. He’s interested in developing intelligent systems using machine learning to improve our understanding of healthcare problems and investigate better solutions to tackle them.

Associated articles

JTEHM, Articles, Published Articles
Automatic Detection of Compensation during Robotic Stroke Rehabilitation Therapy
      Robotic stroke rehabilitation therapy can greatly increase the efficiency of therapy delivery. However, when left unsupervised, users often compensate for limitations in affected muscles and joints by recruiting unaffected muscles and joints, leading to undesirable rehabilitation outcomes. This paper aims... Read more