• DocumentCode
    1514920
  • Title

    Multifocal electroretinography: structural pattern analysis and early glaucoma detection

  • Author

    Miguel-Jimenez, J.M. ; Ortega, S. ; Boquete, L. ; Rodriguez-Ascariz, J.M. ; Blanco, Rolando

  • Author_Institution
    Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain
  • Volume
    45
  • Issue
    22
  • fYear
    2009
  • Firstpage
    1113
  • Lastpage
    1115
  • Abstract
    Glaucomatous optic neuropathy is probably one of the most prevalent chronic ophthalmologic diseases, affecting more than 5% of the population over 60 years of age. Early-stage glaucoma may be detected by studying local responses from many different areas of the retina, obtained by means of multifocal electroretinography (multifocal ERG), a new functional diagnostic technique. The described multifocal ERG waveform analysis, involved extracting waveform identity patterns and a neural network classifier, and allows detection of early glaucoma visual field defects.
  • Keywords
    diseases; electroretinography; medical diagnostic computing; neural nets; pattern classification; chronic ophthalmologic disease; early glaucoma detection; functional diagnostic technique; glaucoma visual field defect; glaucomatous optic neuropathy; multifocal ERG waveform analysis; multifocal electroretinography; neural network classifier; structural pattern analysis;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.1195
  • Filename
    5295334