KMID : 1191420110100010023
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Korean Journal of Optometry and Vision Science 2011 Volume.10 No. 1 p.23 ~ p.28
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Automated Optokinetic Nystagmus Detection by Electrooculogram
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Moon Hyuk-June
Seo Jong-Mo Lee In-Bum Kong Hyoun-Joong Kwon Sung-Hoon Hwang Jeong-Min Lee Jin-Hak
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Abstract
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Purpose: For the objective visual acuity test using optokinetic nystagmus (OKN), we developed the algorithm which automatically detect OKN pattern from electrooculography (EOG).
Methods: The EOG data acquisition system was designed and made for the computer-based OKN analysis. The automated OKN detection algorithm was developed as a computer program and integrated with the EOG data acquisition system. The whole system was evaluated in three healthy volunteers with normal vision.
Results: The sensitivity of the proposed algorithm and the system was 80.2% and the false positive error was negligible.
Conclusions: The OKN could be objectively recorded and analyzed by the proposed algorithm, and the EOG data acquisition system was acceptable in clinical situation.
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KEYWORD
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Electrooculography, Optokinetic nystagmus
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