DocumentCode :
1527415
Title :
Virtual reality-enhanced stroke rehabilitation
Author :
Jack, David ; Boian, Rares ; Merians, Alma S. ; Tremaine, Marilyn ; Burdea, Grigore C. ; Adamovich, Sergei V. ; Recce, Michael ; Poizner, Howard
Author_Institution :
Center for Molecular & Behavioral Neurosci., Rutgers Univ., Newark, NJ, USA
Volume :
9
Issue :
3
fYear :
2001
Firstpage :
308
Lastpage :
318
Abstract :
A personal computer (PC)-based desktop virtual reality (VR) system was developed for rehabilitating hand function in stroke patients. The system uses two input devices, a CyberGlove and a Rutgers Master II-ND (RMII) force feedback glove, allowing user interaction with a virtual environment. This consists of four rehabilitation routines, each designed to exercise one specific parameter of hand movement: range, speed, fractionation or strength. The use of performance-based target levels is designed to increase patient motivation and individualize exercise difficulty to a patient´s current state. Pilot clinical trials have been performed using the above system combined with noncomputer tasks, such as pegboard insertion or tracing of 2D patterns. Three chronic stroke patients used this rehabilitation protocol daily for two weeks. Objective measurements showed that each patient showed improvement on most of the hand parameters over the course of the training. Subjective evaluation by the patients was also positive. This technical report focuses on this newly developed technology for VR rehabilitation.
Keywords :
force feedback; handicapped aids; haptic interfaces; patient rehabilitation; virtual reality; 2D pattern tracing; CyberGlove; VR-enhanced rehabilitation; desktop virtual reality system; exercise difficulty; force feedback glove; hand function rehabilitation; objective measurements; patient motivation; pegboard insertion; performance-based target levels; stroke rehabilitation; subjective evaluation; user interaction; virtual environment; Clinical trials; Data gloves; Force feedback; Fractionation; Lifting equipment; Medical treatment; Microcomputers; Neuroscience; Virtual environment; Virtual reality; Aged; Aged, 80 and over; Female; Hand Strength; Humans; Male; Microcomputers; Middle Aged; Motor Skills; Physical Therapy Modalities; Range of Motion, Articular; Reaction Time; Software Design; Stroke; Therapy, Computer-Assisted; User-Computer Interface;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/7333.948460
Filename :
948460
Link To Document :
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