• 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