• DocumentCode
    2094323
  • Title

    A task description model for robotic rehabilitation

  • Author

    Carmichael, M.G. ; Dikai Liu

  • Author_Institution
    Centre for Autonomous Syst. (CAS), Univ. of Technol. Sydney (UTS), Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    3086
  • Lastpage
    3089
  • Abstract
    The desire to produce robots to aid in physical neurorehabilitation has led to the control paradigm Assistance-As-Needed. This paradigm aims to assist patients in performing physical rehabilitation tasks whilst providing the least amount of assistance required, maximizing the patient´s effort which is essential for recovery. Ideally the provided assistance equals the gap between the capability required to perform the task and the patient´s available capability. Current implementations derive a measure of this gap by critiquing task performance based on some criteria. This paper presents a task description model for tasks performed by a patient´s limb, allowing physical requirements to be calculated. Applied to two upper limb tasks typical of rehabilitation and daily activities, the effect of task variations on the task´s physical requirements are observed. It is proposed that using the task description model to compensate for changing task requirements will allow better support by providing assistance closer to the true needs of the patient.
  • Keywords
    biomechanics; medical robotics; neurophysiology; patient rehabilitation; control paradigm assistance; patients available capability; patients limb; physical neurorehabilitation tasks; robotic rehabilitation; task description model; task performance; upper limb tasks; Computational modeling; Conferences; Elbow; Force; Robots; Shoulder; Training; Humans; Models, Theoretical; Robotics; Upper Extremity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346616
  • Filename
    6346616