Recognition of hypoxia with a preset confidence level based on EEG analysis. / Zhang, Jin; Li, Guang; Meng, Hui; Li, Jiaojie; Luo, Zhiyuan.

IEEE International Joint Conference on Neural Networks, 2008. 2008. p. 3005-3008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Abstract

Though the olfactory model entitled KIII has been widely used to pattern recognition, it only can give bare prediction. Combining EM model with the transductive confidence machine, a novel method to recognize hypoxia electroencephalogram (EEG) with a preset confidence level is proposed in this paper. This method can make prediction with confidence measure rather than bare prediction. The experimental results of classifying normal and hypoxia EEGs show that the method can set confidence level in advance for every prediction to control the risk of error effectively.
Original languageEnglish
Title of host publicationIEEE International Joint Conference on Neural Networks, 2008
Pages3005-3008
Publication statusPublished - Jun 2008

ID: 1306710