Related Experiment Videos
[Use of neural networks for analysis of visual evoked potentials developing a type of "pattern"--preliminary report]
P Sobolewski1, M Swiercz, M Grusza
1Oddziału Okulistycznego Wojewódzkiego Szpitala Zespolonego w Suwałkach.
Purpose:
The authors present the "pattern" visual evoked potentials (VEP) analysis with use of the artificial neural networks (ANN).
Materials And Methods:
The study involved 11 patients with compressive chiasmal optic neuropathy, 20 patients with optic neuritis, 12 patients with anterior ischaemic optic neuropathy, 20 patients with optic nerve atrophy from neuritis, 8 patients with demyelinative neuropathy, 5 patients with oedema optic nerve, 20 healthy persons. The tests of visual evoked potentials were performed with the use of computer system UTAS-E1000. Classification of potentials was made by correlation of outputs of ANN with results of confirmed neuro-ophthalmology conditions.
Results:
ANN of different architecture were classified correctly in 80-100% of VEP record samples.
Conclusions:
The obtained correctness of classification confirms usefulness of VEP analysis as the objective diagnostic method in some neuro-ophthalmological diseases and indicates application of ANN in multifactor analysis.