• DocumentCode
    3586968
  • Title

    Development and pretesting of reaching training software for post-stroke patient using SEMUL rehabilitation system for upper limbs

  • Author

    Hata, Kousuke ; Koyanagi, Ken´ichi ; Nagata, Kensuke ; Motoyoshi, Tatsuo ; Masuta, Hiroyuki ; Oshima, Toru

  • Author_Institution
    Dept. of Intell. Syst. Design Eng., Toyama Prefectural Univ., Toyama, Japan
  • fYear
    2014
  • Firstpage
    1662
  • Lastpage
    1667
  • Abstract
    In this study, we developed rehabilitation software for SEMUL (simple exercise machine for upper limbs). SEMUL has eight software routines; however, these routines do not manage to combine quantitative evaluation with user amusement. To solve this problem, we developed training software in the form of coin-collecting software. In addition, we developed the coin-collecting software such that it was able to trigger movements for feedforward control and feedback control. We conducted experiments to verify the effectiveness of this software by young healthy subjects. Test subjects trained using the developed software for five days. Then, we carried out a questionnaire survey. The results show that the software includes quantitative evaluation. In addition, the survey results show that the training software provides high levels of user amusement when compared with the existing software.
  • Keywords
    control engineering computing; diseases; feedback; feedforward; medical computing; motion control; patient rehabilitation; virtual reality; SEMUL rehabilitation system; coin-collecting software; feedback control; feedforward control; post-stroke patient; quantitative evaluation; reaching training software development; reaching training software pretesting; rehabilitation software; simple exercise machine for upper limbs; software routines; user amusement; virtual reality; young healthy subjects; Accuracy; Erbium; Feedback control; Feedforward neural networks; Software; Tracking; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090573
  • Filename
    7090573