DocumentCode
754836
Title
Quantitative analysis of associated and disassociated phorias: linear and nonlinear static models
Author
Hung, George K.
Author_Institution
Dept. of Biomed, Eng., Rutgers Univ., Piscataway, NJ, USA
Volume
39
Issue
2
fYear
1992
Firstpage
135
Lastpage
145
Abstract
Ogle et al. (1967) proposed two measures of oculomotor balance, called associated and disassociated phorias, which he assumed were equivalent. However, experimentally determined values of these phorias do not show a close correspondence. To analyze the rationale behind Ogle´s assumption of equality, a linear static model was evaluated. It was found that the linear model predicts an exact correspondence between associated and disassociated phorias. Thus, this assumption depended on the presence of a linear model. To account for the discrepancy between the two measures, four equations for fixation disparity were derived corresponding to the four combinations of deadspace operator outputs. Only one of these four equally possible solutions for associated phoria corresponded to the disassociated phoria. This suggests that the variability in the four solutions may account for the scatter in the experimental data. The nonlinear model was analyzed further to determine its sensitivity to parameter changes and to show how such a model could generate the classical shape of the fixation disparity curve.
Keywords
eye; physiological models; vision; deadspace operator outputs; disassociated phorias; experimental data scatter; eye movements; fixation disparity curve; linear static model; nonlinear static model; oculomotor balance; parameter changes; Area measurement; Biomedical measurements; Convergence; Eyes; Focusing; Lenses; Nonlinear equations; Predictive models; Retina; Shape measurement; Accommodation, Ocular; Computer Simulation; Esotropia; Exotropia; Fixation, Ocular; Humans; Linear Models; Models, Biological; Strabismus; Vision Disparity;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.121644
Filename
121644
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