• DocumentCode
    3565429
  • Title

    Cloud-based non-invasive tele-rehabilitation exercise monitoring

  • Author

    Saiyi Li ; Pathirana, Pubudu N.

  • Author_Institution
    Dept. of Electr. Eng., Deakin Univ., Melbourne, VIC, Australia
  • fYear
    2014
  • Firstpage
    385
  • Lastpage
    390
  • Abstract
    Exercise based rehabilitation plays a vital role in the recovery of various conditions, such as stroke, Parkinson´s disease (PD), chronic pain, and so on. Recently, tele-rehabilitation has become increasingly popular quantitative nature in assessments particularly for systematic monitoring of progress as well as cost saving for the patients as well as for the health care sector at large. However, challenges do exist in implementing a distributed bio-feedback in a cost-effective and efficient way. In this paper, we present the associated conceptual framework of cloud-based tele-rehabilitation system employing affordable non-invasive Microsoft Kinect® allowing patients to perform rehabilitation exercises in non-clinical setting such as home environments without loosing the quality of patients care. More importantly, different from existing tele-rehabilitation systems, our system not only measures whether patients can perform rehabilitation tasks, but also how well they can finish the tasks. Preliminary experiments validate its potential in training healthy subject to perform exercise motions emulating the physical rehabilitation process.
  • Keywords
    biomechanics; cloud computing; diseases; feedback; health care; medical computing; patient care; patient monitoring; patient rehabilitation; telemedicine; Parkinson disease; chronic pain; cloud-based noninvasive tele-rehabilitation exercise monitoring; distributed biofeedback; health care sector; patient care; stroke; Computational modeling; Computers; Hardware; Joints; Monitoring; Three-dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/IECBES.2014.7047527
  • Filename
    7047527