Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential

In this paper, we purpose a diagnostic procedure to identify the optic nerve disease from visual evoked potential (VEP) signals using an Artificial Neural Network (ANN). Multilayer feed forward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented. The correct classificatio...

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Bibliographic Details
Published inJournal of medical systems Vol. 31; no. 5; pp. 391 - 396
Main Authors Kara, Sadık, Güven, Ayşegül
Format Journal Article
LanguageEnglish
Published United States Springer Nature B.V 01.10.2007
Subjects
Adult
Algorithms
Evoked Potentials, Visual
Female
Humans
Male
Medical imaging
Middle Aged
Neural networks
Neural Networks (Computer)
Optic Nerve Diseases - diagnosis
Optic Nerve Diseases - physiopathology
Studies
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Summary:In this paper, we purpose a diagnostic procedure to identify the optic nerve disease from visual evoked potential (VEP) signals using an Artificial Neural Network (ANN). Multilayer feed forward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented. The correct classification rate was 96.87% for subjects having optic nerve disease and 96.66% for healthy subjects. The end results are classified as healthy and diseased. Testing results were found to be compliant with the expected results that are derived from the physician's direct diagnosis, angiography, VEP and pattern electroretinography. The stated results show that the proposed method could point out the ability of design of a new intelligent assistance diagnosis system.
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ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-007-9081-0