DSCC 2013 Paper Abstract


Paper MoBT2.3

Simkins, Matt (UC Santa Cruz), Roldan, Jay Ryan (University of California Santa Cruz), Kim, Hyunchul (Apple Inc), Abrams, Gary (University of California, San Francisco), Byl, Nancy (University of California San Francisco), Rosen, Jacob (University of California - Santa Cruz)

Kinematic Analysis of Virtual Reality Task Intensity Induced by a Rehabilitation Robotic System in Stroke Patients

Scheduled for presentation during the Invited session "Human Assistive Systems and Wearable Robots: Applications and Assessment" (MoBT2), Monday, October 21, 2013, 14:10−14:30, Room 123

6th Annual Dynamic Systems and Control Conference, October 21-23, 2020, Stanford University, Munger Center, Palo Alto, CA

This information is tentative and subject to change. Compiled on October 30, 2020

Keywords Service/Rehabilitation Robots, Model Validation, Optimization


Robotic systems provide a paradigm shift in maximizing neural plasticity as part of human motor control recovery following stroke. Such a system shifts the treatment from therapist dependent to patient dependent by its potential to increase the treatment dose, as long as the patient can tolerate it. The experimental protocol included 10 post stroke hemiparetic subjects in a chronic stage. Subjects were treated with an exoskeleton system (EXO-UL7) using a unilateral mode, and a bilateral mode. Seven virtual reality tasks were utilized in the protocol. A kinematic-based methodology was used to study the intensity of the virtual reality task in each one of the operational modes. The proposed method is well suited for early evaluation of a given virtual reality task, or movement assistance modality during the development process. Pilot study data were analyzed using the proposed methodology. This allowed for the identification of kinetic differences between the assistance modalities by assessing the intensity of the virtual reality tasks.


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