• DocumentCode
    2052950
  • Title

    EMG Biofeedback Based VR System for Hand Rotation and Grasping Rehabilitation

  • Author

    Ma, Sha ; Varley, Martin ; Shark, Lik-Kwan ; Richards, Jim

  • Author_Institution
    ADSIP Res. Centre, Univ. of Central Lancashire, Preston, UK
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    Individuals who have upper limb movement problems include people with cerebral palsy (CP) and stroke victims. Both these conditions lead to difficulties in daily activities such as reaching, grasping etc. Virtual reality (VR), which could provide a repetitive multimodal task-oriented rehabilitation environment for patients to undertake self-training in safety, is considered to be a suitable tool for medical health rehabilitation. Using electromyography (EMG) biofeedback in rehabilitation could provide patients with opportunities to improve the ability by assessing their muscle activity response and learning self-control of movement during specific training tasks. This paper presents a study on developing EMG as an important interactive tool in a VR based system for hand rotation and grasping motion rehabilitation. The input interface includes an EMG system and a real-time magnetic motion tracking system, and the output interface is a PC monitor. The developed EMG biofeedback based VR system enables the user to interact with virtual objects in real-time with multiform feedback. Ten healthy subjects participated in the preliminary task evaluation test, and the results suggest that the specified skills have improved during training. The beneficial effects of the developed system indicate the potential values for further clinical application.
  • Keywords
    electromyography; health care; patient rehabilitation; virtual reality; EMG biofeedback; cerebral palsy; electromyography; grasping rehabilitation; hand rotation; medical health rehabilitation; real-time magnetic motion tracking system; repetitive multimodal task-oriented rehabilitation environment; stroke victims; upper limb movement problems; virtual reality; Biological control systems; Electromyography; Feature extraction; Grasping; Missiles; Muscles; Training; EMG biofeedback; hand motion function rehabilitation; multiform feedback; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2010 14th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Print_ISBN
    978-1-4244-7846-0
  • Type

    conf

  • DOI
    10.1109/IV.2010.73
  • Filename
    5571178