Document Type
Thesis
Date of Award
9-30-1983
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical Engineering
First Advisor
Andrew Ulrich Meyer
Second Advisor
Stanley S. Reisman
Abstract
Electro-Oculography (EOG) is used in clinical ophthalmology to measure the time response of the corneoretinal potential (CRP) to changes in light intensity. An automatized data acquisition and system modeling link has been developed that significantly reduces processing time presently required for EOG. The data acquisition is performed on a microprocessor based instrument, which supervises the EOG-test, measures the potential and, after completion of the test, transfers the results to a mainframe computer. Parameter identification routines provide graphical representation and mathematical models for the CRP. Both nonlinear curve fitting methods and Least Squares System Identification schemes are used.
Recommended Citation
Poelzleitner, Wolfgang, "Data acquisition and parameter identification in electro-oculography" (1983). Theses. 3600.
https://digitalcommons.njit.edu/theses/3600
