Current perception threshold measurement via single channel electroencephalogram based on confidence algorithm

Authors:
You Wang;Yi Qiu;Yuping Miao;Guiping Dai;Guang Li
Affiliations:
National Key Lab of Industrial Control Technology, Dept of Control Science and Engineering, Zhejiang University, Hangzhou, China;National Key Lab of Industrial Control Technology, Dept of Control Science and Engineering, Zhejiang University, Hangzhou, China;Hangzhou Prospect Science and Technology Co Ltd., Hangzhou, China;Zhejiang Food and Drug Administration, Hangzhou, China;National Key Lab of Industrial Control Technology, Dept of Control Science and Engineering, Zhejiang University, Hangzhou, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

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Transductive Confidence Machines for Pattern Recognition

ECML '02 Proceedings of the 13th European Conference on Machine Learning

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Abstract

A new algorithm for pattern recognition for current perception threshold measurement is proposed Because of risk-sensitiveness of medical diagnosis, the current perception threshold requires the prediction to be qualified with confidence Using confidence support vector machine, the current perception threshold measurement via single channel electroencephalogram is confident and credible Experimental results demonstrate the proposed algorithm is effective.