• DocumentCode
    3217198
  • Title

    Virtual reality physical therapy: a telerehabilitation tool for hand and finger movement exercise monitoring and motor skills analysis

  • Author

    August, K. ; Bleichenbacher, D. ; Adamovich, S.

  • Author_Institution
    New Jersey Inst. of Technol., Univ. Heights, Newark, NJ, USA
  • fYear
    2005
  • fDate
    2-3 April 2005
  • Firstpage
    73
  • Lastpage
    74
  • Abstract
    Virtual Reality (VR) provides useful rehabilitation applications, motivation, and feedback, for chronic stroke patients who might benefit from intensive massed therapies. Extensive therapy is required to take advantage of brain plasticity to modify neural organization and improve motor skills during the chronic phase after a stroke. Existing measurements used in a clinical setting are expensive, offer gross scales, and are subjective making it difficult to measure improvement or to detect refractory symptoms. Robotics applications are constrained to specific movements. New methods and tools are needed that use an inexpensive architecture, objective analysis techniques, and that offer hope for assessing motor skills more frequently or in a telerehabilitation environment. Management of motor disorders would benefit from practical automated objective techniques to monitor activities, measure and track kinetics and kinematics of complex motor skills associated with activities of daily living (ADL´s) during exercise sessions and throughout the course of a patient´s treatment process. We developed and tested a VR system using an unconstrained low-cost data glove and motivational games; patients can partake in intensive therapies while a data gathering application tracks hand and finger movements including x, y, z, yaw, pitch, and roll, finger flexion, speed, and session duration. These monitoring capabilities facilitate innovative telerehabilitation, compliance, and disease management models for people who have hand dysfunction as a result of neurological impairment. Specific movement routines may also be used for periodic objective assessment of the patient´s performance.
  • Keywords
    biomechanics; brain; diseases; neurophysiology; patient rehabilitation; patient treatment; telemedicine; brain; chronic stroke patients; data gathering; disease management models; exercise sessions; finger movements; hand dysfunction; intensive massed therapies; kinematics; motor skills; neural organization; neurological impairment; patient treatment; refractory symptoms; rehabilitation applications; telerehabilitation environment; virtual reality; Computerized monitoring; Fingers; Kinematics; Kinetic theory; Medical treatment; Neurofeedback; Neuroplasticity; Patient monitoring; Robotics and automation; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2005. Proceedings of the IEEE 31st Annual Northeast
  • Print_ISBN
    0-7803-9105-5
  • Electronic_ISBN
    0-7803-9106-3
  • Type

    conf

  • DOI
    10.1109/NEBC.2005.1431931
  • Filename
    1431931