• DocumentCode
    1612459
  • Title

    Automatic DarkAdaptation Threshold Detection Algorithm

  • Author

    de Azevedo, Dario F.G. ; Helegda, Sérgio ; Glock, Flávio ; Russomano, Thaís

  • Author_Institution
    Sci. & Res. Inst., Pontifical Catholic Univ. Porto Alegre
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    1988
  • Lastpage
    1990
  • Abstract
    This paper describes an algorithm used to automatically determine the threshold sensitivity in a new dark adaptometer. The new instrument is controlled by a personal computer and can be used in the investigation of several retinal diseases. The stimulus field is delivered to the eye through the modified optics of a fundus camera. An automated light stimulus source was developed to operate together with this fundus camera. New control parameters were developed in this instrument to improve the traditional Goldmann-Weekers dark adaptometer
  • Keywords
    biomedical optical imaging; diseases; eye; Goldmann-Weekers dark adaptometer; automated light stimulus source; automatic dark adaptation threshold detection algorithm; eye; fundus camera; retinal diseases; threshold sensitivity; Automatic control; Bleaching; Cameras; Detection algorithms; Diseases; Instruments; Light sources; Microcomputers; Retina; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616844
  • Filename
    1616844