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Updated: Jun 9, 2026
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
Published on: August 8, 2011
Interfacing a haptic robotic system with complex virtual environments to treat impaired upper extremity motor
Gerard G Fluet1, Qinyin Qiu, Donna Kelly
1Department of Rehabilitation and Movement Science, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.
Objective:
To investigate the ability of the New Jersey Institute of Technology Robot Assisted Virtual Rehabilitation (NJIT-RAVR) system training to elicit changes in upper extremity (UE) function in children with hemiplegia secondary to cerebral palsy.
Methods:
Nine children (mean age 9 years, three males) participated in three pilots. Subjects trained 1 hour, 3 days a week for 3 weeks. Two groups performed this protocol as their only intervention. The third group also performed 5-6 hours of constraint-induced movement therapy.
Results:
All subjects participated in a short programme of nine, 60-minute training sessions without adverse effects. As a group, subjects demonstrated statistically significant improvements in Melbourne Assessment of Unilateral Upper Limb Function Test, a composite of three timed UE tasks and several measurements of reaching kinematics. Several subjects demonstrated clinically significant improvements in active shoulder abduction and flexion as well as forearm supination.
Conclusion:
Three small pilots of NJIT-RAVR training demonstrated measurable benefit with no complications, warranting further examination.
