• DocumentCode
    3650254
  • Title

    Kirlian images based early detection of diabetics using neural network

  • Author

    B. Shanmuga Priya;R. Rajesh

  • Author_Institution
    Department of Computer Science, CMS College of Arts and Commerce, Coimbatore, India
  • fYear
    2013
  • fDate
    3/1/2013 12:00:00 AM
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    As a lot of information about our body and health can be obtained from a few drops of blood, Kirlian images which are recorded on photographic emulsion using GDV instruments developed in 1996 by Prof. Konstantin Korotkov from St. Petersburg Tech University has the potential to show all the health related issues of our body. This paper deals with the early detection of diabetics using the features obtained from Kirlian images. The results using neural network classifier are promising.
  • Keywords
    "Discharges (electric)","Diabetes","Visualization","Thumb","Biomedical imaging","Energy measurement"
  • Publisher
    ieee
  • Conference_Titel
    Orange Technologies (ICOT), 2013 International Conference on
  • Print_ISBN
    978-1-4673-5934-4
  • Type

    conf

  • DOI
    10.1109/ICOT.2013.6521179
  • Filename
    6521179