Decomposition of vergence dynamics using independent component analysis
Document Type
Conference Proceeding
Publication Date
12-1-2009
Abstract
This study investigated the underlying components of vergence responses in binocularly healthy individuals and subjects with convergence insufficiency (CI). Convergent and divergent eye movements were recorded from seven subjects using step stimuli. In addition, four CI subjects participated in six weeks of vision rehabilitation. The goal of this study was to use an independent component analysis (ICA) algorithm to dissect the vergence responses into two underlying components (transient and sustained) for comparison. Preliminary data suggest the healthy controls have greater peak velocity and the magnitude of the transient component was larger compared to patients with CI. After training, the peak velocity and magnitude of the transient component increased for the CI patients and these behaviors were maintained after the training. Data suggest that training modifies the cortical signal responsible for generating the transient component signal and these changes are sustained post rehabilitation. © 2009 IEEE.
Identifier
77949510370 (Scopus)
ISBN
[9781424456192]
Publication Title
Proceedings International Conference on Tools with Artificial Intelligence Ictai
External Full Text Location
https://doi.org/10.1109/ICTAI.2009.100
ISSN
10823409
First Page
766
Last Page
770
Recommended Citation
Kim, Eun; Alvarez, Tara L.; Alkan, Yelda; Jaswal, Rajbir; Biswal, Bharat B.; and Vicci, Vincent R., "Decomposition of vergence dynamics using independent component analysis" (2009). Faculty Publications. 11821.
https://digitalcommons.njit.edu/fac_pubs/11821
