In this webinar, presented by Borna Ghannadi from the University of Waterloo, you see how MapleSim was used to create human-robot rehabilitation systems for use with post-stroke patients (research originally presented at CSB 2016).
Typically, stroke rehabilitation technologies focus on reducing treatment costs while improving effectiveness. As a result, rehabilitation robots are mostly developed for home and clinical usage, to deliver repetitive practice to patients, minimize therapist intervention, and increase the ratio of patients per therapist (decreasing the associated cost). Since upper extremity movement disorders are common amongst post-stroke patients, this research focuses on upper extremity robots. This webinar will explore the integration of a robot computer model with a three-dimensional (3D) upper extremity musculoskeletal model. Also, nonlinear model predictive control is used to control this human-robot system.