DocumentCode :
2961254
Title :
Recognition of hypoxia EEG with a preset confidence level based on EEG analysis
Author :
Zhang, Jin ; Li, Guang ; Hu, Meng ; Li, Jiaojie ; Luo, Zhiyuan
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
3005
Lastpage :
3008
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.
Keywords :
electroencephalography; medical signal processing; pattern classification; support vector machines; EEG analysis; hypoxia EEG recognition; pattern recognition; transductive confidence machine; Electroencephalography; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4634221
Filename :
4634221
Link To Document :
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