Robot-assisted virtual rehabilitation (NJIT-RAVR) system for children with upper extremity hemiplegia

Gerard G. Fluet, Qinyin Qiu, Soha Saleh, Diego Ramirez, Sergei Adamovich, Donna Kelly, Heta Parikh

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

15 Scopus citations

Abstract

This paper will describe the NJIT-RAVR system, which combines adaptive robotics with complex VR simulations for the rehabilitation of upper extremity impairments and function in children with CP. The feasibility of this system is examined in the context of two pilot studies. The NJIT-RAVR system consists of the Haptic Master, a 6 degrees of freedom, admittance controlled robot and a suite of rehabilitation simulations that we have developed. The system provides adaptive algorithms for the Haptic Master, allowing impaired users to interact with rich virtual environments. All subjects trained with the NJIT-RAVR System for one hour, 3 days a week for three weeks. The subjects played a combination of four or five simulations depending on their therapeutic goals, tolerances and preferences. Subjects differed in the level of activity performed outside of NJIT-RAVR system training. Each group of subjects performed a battery of clinical testing and kinematic measurements of reaching collected by the NJIT-RAVR system. Both groups improved in robotically collected kinematic measures and the Melbourne Assessment of Unilateral Upper Limb Function.

Original languageEnglish (US)
Title of host publication2009 Virtual Rehabilitation International Conference, VR 2009
Pages189-192
Number of pages4
DOIs
StatePublished - 2009
Event2009 Virtual Rehabilitation International Conference, VR 2009 - Haifa, Israel
Duration: Jun 29 2009Jul 2 2009

Publication series

Name2009 Virtual Rehabilitation International Conference, VR 2009

Other

Other2009 Virtual Rehabilitation International Conference, VR 2009
Country/TerritoryIsrael
CityHaifa
Period6/29/097/2/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Biomedical Engineering

Keywords

  • Cerebral palsy
  • Rehabilitation
  • Upper extremity
  • Virtual reality

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