A virtual reality-based training system for error-augmented treatment in patients with stroke

Lily Sror, Michal Vered, Iuly Treger, Shelly Levy-Tzedek, Mindy F. Levin, Sigal Berman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Stroke is a leading cause of long-term sensorimotor deficits in upper limb function and current upper limb interventions have limited effectiveness. Joint-level augmentation treatment, grounded in referent control theory, prescribes insertion of error at the joint level for inducing a dynamic re-mapping of muscle-leve control mechanisms. We hypothesize that this will lead to an increase in the control range of the joint and consequently to improved performance of voluntary motion. In the current presentation we describe a system harnessing virtual reality developed for upper-limb training based on joint level error augmentation. The system comprises three components, a passive arm rest supporting the arm against gravity, a Kinect motion tracking system, and a virtual-reality training environment. The visualization of the entire arm is a critical system component which should invoke a high degree of presence. For the method to be effective, the participant should accept the visualized arm position as representing his/her actual arm location, despite conflicting input from his/her proprioception. A pilot test is currently under way for assessing the method's effectiveness.

Original languageEnglish
Title of host publicationICVR 2019 - International Conference on Virtual Rehabilitation
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728112855
StatePublished - 1 Jul 2019
Event2019 International Conference on Virtual Rehabilitation, ICVR 2019 - Tel Aviv, Israel
Duration: 21 Jul 201924 Jul 2019


Conference2019 International Conference on Virtual Rehabilitation, ICVR 2019
CityTel Aviv


  • error augmentation
  • motor rehabilitation
  • stroke
  • virtual reality

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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