Recognition of hypoxia with a preset confidence level based on EEG analysis

Jin Zhang; Guang Li; Hui Meng; Jiaojie Li; Zhiyuan Luo

Recognition of hypoxia with a preset confidence level based on EEG analysis

Jin Zhang, Guang Li, Hui Meng, Jiaojie Li, Zhiyuan Luo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	IEEE International Joint Conference on Neural Networks, 2008
Pages	3005-3008
Publication status	Published - Jun 2008

Cite this

@inproceedings{0a8a1260a75a41e989e24ef31ef2f2fb,

title = "Recognition of hypoxia with a preset confidence level based on EEG analysis",

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.",

author = "Jin Zhang and Guang Li and Hui Meng and Jiaojie Li and Zhiyuan Luo",

year = "2008",

month = jun,

language = "English",

pages = "3005--3008",

booktitle = "IEEE International Joint Conference on Neural Networks, 2008",

}

TY - GEN

T1 - Recognition of hypoxia with a preset confidence level based on EEG analysis

AU - Zhang, Jin

AU - Li, Guang

AU - Meng, Hui

AU - Li, Jiaojie

AU - Luo, Zhiyuan

PY - 2008/6

Y1 - 2008/6

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 3005

EP - 3008

BT - IEEE International Joint Conference on Neural Networks, 2008

ER -