Document Type
Thesis
Date of Award
5-31-1989
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Andrew Ulrich Meyer
Second Advisor
Stanley S. Reisman
Third Advisor
Edip Niver
Abstract
The Corneoretinal potential (CRP) was discovered in 1848. Its response to changes in light intensity can provide information relevant in the diagnosis of some retinal degenerative disorders. The indirectly measured CRP is referred to as electro-oculography (EOG). A system for automatic data acquisition and modelling, providing graphic presentation, data processing and file management, has been developed. A linear feedback model is proposed to represent the dynamics of the EOG signal. Model parameters are estimated by the nonlinear least-square method. The effect of measurement time on the reliability of parameter estimation is discussed.
Recommended Citation
Hsu, Shengche, "Modelling and parameter estimation in clinical electrooculography" (1989). Theses. 2790.
https://digitalcommons.njit.edu/theses/2790
