• DocumentCode
    2193376
  • Title

    Coil Arrays Modeling and Optimization for Transcranial Magnetic Stimulation

  • Author

    Liu Jicheng ; Lu Jiqing ; Liu Cui ; Hu Yayi

  • Author_Institution
    Coll. of Electron. Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to locate the exciting site in transcranial magnetic stimulation (TMS) efficiently, schemes of coil arrays in hemispherical, plane and torus shape are put forward in this paper to get the magnetic field distribution with ideal focusing capability. Then a self-reparative & adaptive genetic algorithm (SRAGA) is applied in the optimization the currents infused into each coil. Base on the calculated results of the optimized current configurations, ideal focusing capabilities are illustrated with contour lines and 3-D mesh charts of magnitude within the calculation domain. It is shown that all the 3 coil arrays have good capability to establish a focused magnetic field distribution in a given region. In addition, it is also shown that the coil arrays have the capability to focus on multi-targets simultaneously, and the capability to focus on arbitrary point.
  • Keywords
    biology computing; biomagnetism; genetic algorithms; neuromuscular stimulation; optimisation; 3-D mesh charts; coil array modeling; contour lines; current configurations; focused magnetic field distribution; magnetic field distribution; optimization; self-reparative & adaptive genetic algorithm; transcranial magnetic stimulation; Brain modeling; Coils; Electromagnetic fields; Focusing; Frequency; Genetic algorithms; Magnetic fields; Magnetic stimulation; Sensor arrays; Toroidal magnetic fields;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5305488
  • Filename
    5305488