• DocumentCode
    1986174
  • Title

    Intentional Movement Performance Ability (IMPA): A method for robot-aided quantitative assessment of motor function

  • Author

    Sung Yul Shin ; Jung Yoon Kim ; Sanghyeop Lee ; Junwon Lee ; Seung-Jong Kim ; ChangHwan Kim

  • Author_Institution
    Center for Bionics, Korea Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The purpose of this paper is to propose a new assessment method for evaluating motor function of the patients who are suffering from physical weakness after stroke, incomplete spinal cord injury (iSCI) or other diseases. In this work, we use a robotic device to obtain the information of interaction occur between patient and robot, and use it as a measure for assessing the patients. The Intentional Movement Performance Ability (IMPA) is defined by the root mean square of the interactive torque, while the subject performs given periodic movement with the robot. IMPA is proposed to quantitatively determine the level of subject´s impaired motor function. The method is indirectly tested by asking the healthy subjects to lift a barbell to disturb their motor function. The experimental result shows that the IMPA has a potential for providing a proper information of the subject´s motor function level.
  • Keywords
    diseases; human-robot interaction; injuries; least mean squares methods; medical robotics; neurophysiology; IMPA; disease; iSCI; impaired motor function evaluation; incomplete spinal cord injury; intentional movement performance ability; interactive torque; patient assessment; patient robot interaction; physical weakness; robot aided quantitative assessment; robotic device; root mean square method; stroke; Force; Robot kinematics; Robot sensing systems; Torque; Training; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4673-6022-7
  • Type

    conf

  • DOI
    10.1109/ICORR.2013.6650498
  • Filename
    6650498