• DocumentCode
    502627
  • Title

    Real time algorithm for magnet´s localization in capsule endoscope

  • Author

    Song, Shuang ; Hu, Chao ; Li, Mao ; Yang, Wanan ; Meng, Max Q H

  • Author_Institution
    Shenzhen Inst. of Adv. Integration Technol., Chinese Acad. of Sci., Shenzhen, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    2030
  • Lastpage
    2035
  • Abstract
    To track the movement of a wireless capsule, a magnetic localization and orientation system is designed. In this system, a permanent magnet is enclosed in the capsule, which generates a magnetic field around. With the magnetic sensor array arranged out of the human body, we can measure the magnet´s magnetic signals, and compute the capsule´s 3D localization and 2D orientation parameters by applying an appropriate algorithm. In this paper, we presented a real time localization algorithm that consists of the Levenberg-Marquardt (LM) algorithm and the Least Squares Curve Fitting Method. The experimental results show that this algorithm has good accuracy, high speed and high robustness.
  • Keywords
    biomagnetism; curve fitting; endoscopes; least squares approximations; magnetic sensors; medical signal processing; permanent magnets; 2D orientation; 3D localization; Levenberg-Marquardt algorithm; capsule endoscope; least squares curve fitting method; magnetic localization; magnetic sensor array; orientation system; permanent magnet; real time algorithm; wireless capsule movement; Curve fitting; Endoscopes; Humans; Least squares methods; Magnetic field measurement; Magnetic sensors; Permanent magnets; Sensor arrays; Tracking; Wireless sensor networks; Least Squares Curve Fitting; Magnetic Localization; Nonlinear Minimization; Wireless Capsule Endoscope;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262602
  • Filename
    5262602