title: Computer-assisted analysis of the electro-oculogram.
abstract: A method of acquiring and analysing electro-oculogram signals was developed using computer-aided techniques. The repetitive nature, characteristic shape and spectral properties of the electro-oculogram are used in the automated analysis, enabling the retinal resting potential to be investigated. Online computer-aided automatic analysis of the electro-oculogram is efficient, reliable and accurate. Automated analysis produced results that have a highly significant degree of correlation (P less than 0.001) with the results obtained manually from strip chart recording of the electro-oculogram signals. The increased accuracy of the automatic analysis system demonstrates a significantly reduced (McNemar's Test) false positive rate in classifying abnormal results on the basis of Arden ratio. The computer-aided analysis system offers a useful clinical means of measuring the electro-oculogram for diagnostic and research purposes.
authors.affiliation: Department of Ophthalmology, Monash Medical Centre, Melbourne, Australia.
authors.forename: A D
authors.initials: AD
authors.lastname: Gosbell
authors.forename: W R
authors.initials: WR
authors.lastname: Barry
authors.forename: I
authors.initials: I
authors.lastname: Favilla
authors.forename: G
authors.initials: G
authors.lastname: Burkitt
mesh_terms: D003623:Dark Adaptation; D003936:Diagnosis, Computer-Assisted; D004585:Electrooculography; D005189:False Positive Reactions; D006801:Humans; D015203:Reproducibility of Results; D012160:Retina / Q000503:physiopathology*