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http://dx.doi.org/10.21288/resko.2016.10.3.221

Development of Simulation Software for EEG Signal Accuracy Improvement  

Jeong, Haesung (인하대학교 컴퓨터정보공학과)
Lee, Sangmin (인하대학교 전자공학과)
Kwon, Jangwoo (인하대학교 컴퓨터정보공학과)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.10, no.3, 2016 , pp. 221-228 More about this Journal
Abstract
In this paper, we introduce our simulation software for EEG signal accuracy improvement. Users can check and train own EEG signal accuracy using our simulation software. Subjects were shown emotional imagination condition with landscape photography and logical imagination condition with a mathematical problem to subject. We use that EEG signal data, and apply Independent Component Analysis algorithm for noise removal. So we can have beta waves(${\beta}$, 14-30Hz) data through Band Pass Filter. We extract feature using Root Mean Square algorithm and That features are classified through Support Vector Machine. The classification result is 78.21% before EEG signal accuracy improvement training. but after successive training, the result is 91.67%. So user can improve own EEG signal accuracy using our simulation software. And we are expecting efficient use of BCI system based EEG signal.
Keywords
BCI; EEG; Simulation software; ICA; SVM;
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Times Cited By KSCI : 1  (Citation Analysis)
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