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
Link To Document :
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