• DocumentCode
    605200
  • Title

    Controlling Robotic Arm Assisted in Knee Surgery Utilizing Artificial Immunity Technique

  • Author

    El Hamied, M.A.

  • Author_Institution
    Arab Acad. for Sci. & Technol., Cairo, Egypt
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    266
  • Lastpage
    270
  • Abstract
    This paper present a new developed technique for robotic surgical model with high flexibility used in Total knee replacement surgery (TRK). The proposed model used robot arm assisted technique to play the role of computer-assisted surgery (CAS). Most famous type´s orthopedic surgery equipments used navigation system. The system provide surgeon with extra support, as it help to optimize the implant´s alignment according to structure of the body. The problem faces this types that the device has to be in fixed position during surgery, which limit the ability of the surgeon. Artificial Immunity System (AIS) technology is utilized to obtain two tasks. First process CT scan images of the patient and help the surgeon to determine the best location to open and angle of operation. Second performing as controller to improve and adjust the output force of the arm. The proposed technique is simulated and tested in different cases. Output obtained from the simulation show satisfactory response.
  • Keywords
    manipulators; medical robotics; surgery; artificial immunity system technology; computer assisted surgery; fixed position; navigation system; orthopedic surgery equipment; robot arm assisted technique; robotic arm control; robotic surgical model; satisfactory response; total knee replacement surgery; Computational modeling; Computers; Force; Immune system; Prosthetics; Robots; Surgery; component: Computer-Assisted Surgery (CAS); CT scan; Navigation system; Artificial Immunity System (AIS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-6421-8
  • Type

    conf

  • DOI
    10.1109/UKSim.2013.144
  • Filename
    6527426