• DocumentCode
    3185283
  • Title

    AR based upper limb rehabilitation system

  • Author

    Aung, Yee Mon ; Al-Jumaily, Adel

  • Author_Institution
    Sch. of Electr., Univ. of Technol. Sydney, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    213
  • Lastpage
    218
  • Abstract
    More than 62,000 Australians were reported suffered from Traumatic Brain Injury (TBI), Spinal Cord Injury (SCI) and Cerebrovascular Accident (CVA) or stroke in 2011. These injuries and accidents lead to physical disability that yields in limitation for performing a person´s daily life activities. To overcome such limitations, physical rehabilitation is conducted which requires one-to-one attention that creates a shortage in therapists and lead to high cost. In this paper, a development of an effective augmented reality (AR) based upper limb rehabilitation system with low cost is presented. Our development aims to close the gap in shortage of therapists, high health care cost of TBI, SCI and stroke. The proposed system can be used at home as well as in rehabilitation centers, units, and hospitals with minimum therapist supervision. It consists of two modules: AR based rehabilitation exercises module and real-time active muscle module. The first module aims to increase the upper limb range of motion via reaching exercises, and strengthen the associated muscles. In second module, the patient´s EMG signals were used as an input to monitor the muscle performance in real time during training. Our development had tested with 10 healthy subjects and had demonstrated in Port Kembla Rehabilitation Hospital.
  • Keywords
    accidents; augmented reality; computerised monitoring; electromyography; health care; hospitals; muscle; neurophysiology; patient rehabilitation; AR-based rehabilitation exercise module; AR-based upper limb rehabilitation system; Australians; CVA; Port Kembla Rehabilitation Hospital; SCI; TBI; augmented reality-based upper limb rehabilitation system; cerebrovascular accident; health care cost; muscle performance monitoring; muscle strengthening; one-to-one attention; patient EMG signals; person daily life activities; physical disability; physical rehabilitation; reaching exercises; real-time active muscle module; rehabilitation centers; rehabilitation units; spinal cord injury; strokes; therapist supervision; traumatic brain injury; upper-limb motion range; Color; Electromyography; Games; Hospitals; Muscles; Real time systems; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
  • Conference_Location
    Rome
  • ISSN
    2155-1774
  • Print_ISBN
    978-1-4577-1199-2
  • Type

    conf

  • DOI
    10.1109/BioRob.2012.6290680
  • Filename
    6290680