Analysis Tools for Automated Rehabilitation Assessment and Progress Tracking

In this project, Cardon Rehabilitation and Medical Equipment (CRME) and the University of Waterloo (UW) will test the Automated Rehabilitation System (ARS) for lower body physiotherapy in a clinical environment. ARS provides the ability to measure the human pose during the performance of rehabilitation exercises and provide real time feedback. CRME and UW are interested in developing algorithms to automatically assess the changes in patient recovery rate. The intern will develop numerical metrics of exercise performance which can be used by clinicians to better understand patient performance and progression as a supplement to current subjective scales that are common in clinics and reduce inter-rater variability.

Faculty Supervisor:

James Tung;Dana Kulic

Student:

Jonathan Lin

Partner:

Cardon Rehabilitation and Medical Equipment

Discipline:

Engineering - computer / electrical

Sector:

Manufacturing

University:

Program: