• DocumentCode
    2687461
  • Title

    Processing stabilometric data for electronic knee: Training and calibration

  • Author

    Lay-Ekuakille, Aime ; Trotta, Amerigo

  • Author_Institution
    Dipt. d´´Ing. dell´´Innovazione, Univ. of Salento, Lecce, Italy
  • fYear
    2010
  • fDate
    3-6 May 2010
  • Firstpage
    882
  • Lastpage
    885
  • Abstract
    Electronic knee is new opportunity for people having one or two amputated legs. Differently from traditional prosthesis, electronic knee is the first one to be driven by a microprocessor with an hydraulic control for the static and dynamic steps. It is become a positive key issue for the comfort and movement freedom for transfemoral amputed people. Despite the use of microprocessor, many difficulties arise during connection on human being and from calibration. This paper presents a technique of predicting calibration operations and stabilometric measurements in order to allow a better connection between electronic knee and the amputated patient. The technique is based on a novel genetic doped algorithm capable of producing the postural positions and correct calibration.
  • Keywords
    hydraulic control equipment; microprocessor chips; prosthetics; calibration operations; electronic knee; genetic doped algorithm; hydraulic control; microprocessor; stabilometric data processing; transfemoral amputed people; Biological cells; Biomedical measurements; Calibration; Design optimization; Genetic algorithms; Knee; Leg; Legged locomotion; Microprocessors; Wheels; biomedical instrumentation; electronic knee calibration; genetic algorithm; stabilometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-2832-8
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2010.5488104
  • Filename
    5488104