DocumentCode
2858886
Title
Decomposition of Vergence Dynamics Using Independent Component Analysis
Author
Kim, Eun ; Alvarez, Tara L. ; Alkan, Yelda ; Jaswal, Rajbir ; Biswal, Bharat B. ; Vicci, Vincent R.
Author_Institution
Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
2009
fDate
2-4 Nov. 2009
Firstpage
766
Lastpage
770
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.
Keywords
biomedical measurement; eye; independent component analysis; vision defects; binocularly healthy individuals; convergence insufficiency; convergent eye movements; cortical signal; divergent eye movements; independent component analysis; step stimuli; transient component signal; vergence dynamics decomposition; vergence response; vision rehabilitation; Artificial intelligence; Biomedical engineering; Bismuth; Convergence; Dentistry; History; Independent component analysis; Protocols; Radiology; USA Councils; Convergence Insufficiency; ICA; Vergence;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location
Newark, NJ
ISSN
1082-3409
Print_ISBN
978-1-4244-5619-2
Electronic_ISBN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2009.100
Filename
5365894
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