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AUTOMATED, FULLY COMPUTERIZED ANALYSIS OF THE CLINICAL ELECTRORETINOGRAM
Author(s) -
BACHEN NILS I.,
MA BINRONG,
HANSEN EGILL
Publication year - 1984
Publication title -
acta ophthalmologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.534
H-Index - 87
eISSN - 1755-3768
pISSN - 1755-375X
DOI - 10.1111/j.1755-3768.1984.tb08392.x
Subject(s) - computer science , rendering (computer graphics) , erg , artificial intelligence , computer vision , computer hardware , medicine , ophthalmology , retinal
Being a relatively simply composed bioelectric signal, the ERG lends itself very well to computer analysis. This paper presents the results obtained by the employment of an automated, fully computerized ERG analysis system. It is concluded that programmable computing facilities have the effect of rendering diagnostic ERG evaluation more accurate and reliable as well as saving a lot of human effort.