• DocumentCode
    3737693
  • Title

    Visual exploration platform design for fine profile sensing in precision motion systems

  • Author

    Kok Kiong Tan;Wenyu Liang;Jun Yik Lau;Silu Chen;Minh Hoang-Tuan Nguyen

  • Author_Institution
    SIMTech-NUS Joint Laboratory (Precision Motion Systems), c/o Department of Electrical and Computer Engineering, National University of Singapore, Singapore
  • fYear
    2015
  • Firstpage
    4271
  • Lastpage
    4276
  • Abstract
    Otitis media with effusion (OME), a worldwide common ear disease, affecting adults and children when the middle ear is infected. Grommet insertion treatment leads to the development and design of a medical device allowing fast and automatic grommet insertion in an earlier work. In the medical device design, a precision motion system is used to provide the accurate movements for the precise grommet insertion procedure. Besides that, a fiberscope is used to provide the vision for the device. Medical imaging is a technique or process to create visual representations of body for clinical analysis and medical intervention. This paper addresses the design consideration and evaluation of a built-in visual analysis platform equipped on the eardrum microsurgery device. In this special configuration, a fiberscope is placed within the tip of a cutting tool to facilitate image analysis of the motorised surgery with high precision movement. Images from this fiberscope are analysed to build important features during the operation such as proximity estimation, angle measurement and touch detection. These enhanced features are hardly achieved in the traditional approach where a common microscope is used. The platform is implemented under a computerised system and evaluated through experimental results.
  • Keywords
    "Decision support systems","Estimation","Surgery","Q measurement"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2015.7392766
  • Filename
    7392766