Vergence variability: A key to understanding oculomotor adaptability?

Document Type

Conference Proceeding

Publication Date

12-1-2006

Abstract

Vergence eye movements were recorded from three different populations: healthy young (ages 18-35 years), adaptive presbyopic and non-adaptive presbyopic (the presbyopic groups aged above 45 years) to determine how the variability of the eye movements made by the populations differs. The variability was determined using Shannon Entropy calculations of Wavelet transform coefficients, to yield a non-linear analysis of the vergence movement variability. The data were then fed through a k-means clustering algorithm to classify each subject, with no a priori knowledge of true subject classification. The results indicate a highly significant difference in the total entropy values between the three groups, indicating a difference in the level of information content, and thus hypothetically the oculomotor adaptability, between the three groups. Further, the frequency distribution of the entropy varied across groups. © 2006 IEEE.

Identifier

34047110276 (Scopus)

ISBN

[1424400325, 9781424400324]

Publication Title

Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings

External Full Text Location

https://doi.org/10.1109/IEMBS.2006.260945

ISSN

05891019

First Page

6777

Last Page

6780

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