Multilayer model of the oculomotoric system for computer based diagnosis of squint

• Autorzy: Pojda D. , Ober J.
• Języki publikacji: EN

Abstrakty

EN

Classical models of the oculomotoric system only represent the relationship between neural stimulation and eye movement. If we cannot determine the neural activity, then classical models prove inapplicable. At this paper we outline a system for simulation of the neural activation signal based on simple visual stimulation. We have used the idea of a multilayer brain structure. Different layers of the brain are responsible for subsequent layers of perception. Measurements made with the OBER2 system allowed us to evaluate the relationship between two signals: visual stimulation presented on the screen and eye movement measured by detectors. Applying the proposed multilayer model to generate a signal that will be the input for classical model of the oculomotoric system should make it possible to estimate some parameters that describe the work of muscles. We do not need to measure neural activity, provided that the neural system is working normally.

Słowa kluczowe

EN

Ober2; eye movements; squint; strabismus; oculomotoric system; multilayer; levels; model

PL

system pomiarowy Ober2; ruch gałki ocznej; zez; system okoruchowy; wielowarstwowy; poziomy

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 6
• Strony: IT79--85
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Pojda D.

• IITiS PAN, ul.Bałtycka 5, 44-100 Gliwice, Poland

autor

Ober J.

• IITiS PAN, ul.Bałtycka 5, 44-100 Gliwice, Poland

Bibliografia

• [1] LEIGHT J., ZEE D.S. The Neurology of Eye Movements, Edition 2, F.A.Davis Company, Philadelphia
• [2] OBER J., HAJDA J., JAMICKI M., LOSKA J. System pomiarowy ruchu oka Ober2 w medycynie, Techniki Informatyczne w Medycynie 97, s. 123-132, Katowice, 1997.
• [3] OBER J., HAJDA J., JAMICKI M., LOSKA J. Zastosowanie systemu pomiarowego ruchu oka Ober2 do detekcji dysleksji, Techniki Informatyczne w Medycynie 97, s. 39-46, Katowice, 1997.
• [4] OBER J. The Hardware Solution for Background Suppression in Photoelectric IR Eye Movement Recording. Workshop on Eye Movement Monitoring in Ophthalmology, Warszawa 10-15.04.1994
• [5] JAMICKI M., Eye movement signal processing. Praca doktorska, Politechnika Śląska w Gliwicach, 1999
• [6] CLARK M.R., STARK L. 1975, Time Optimal Behavior of Human Saccadic Eye Movement, IEEE Transactions on Automatic Control, June, pp. 345-348.
• [7] KRZYSTKOWA K., KUBATKO-ZIELIŃSKA A.,PAJĄKOWA J., NOWAK-BRYGOWA H., Rozpoznawanie i leczenie choroby zezowej. Zasady i metodyka pracy ortoptystyki. Państwowy Zakład Wydawnictw Lekarskich. Warszawa 1989
• [8] JAMICKI M., OBER J., Calibration and Gain Adjustment in an Eye Movement Measurement System, Medical Informatics & Technologies 2000, s.BI-9 - BI-14, Katowice, 2000
• [9] POJDA D., Application of the OBER2 system to diagnosis of squint, Medical Informatics & Technologies 2000, s. BI-75 - BI-82, Katowice, 2000