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
Link To Document :
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