Epilepsy Abnomal Electroencephalagram Analysis Based on Symbolic Relative Entropy

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In this paper, symbolic relative entropy was used to analyze the average energy dissipation of epilepsy electroencephalagram (EEG) signals and normal electroencephalagram signals. Hypothesis testing showed that the average energy dissipation of epilepsy electroencephalagram signals was distinctly higher than that of normal electroencephalagram signals. It discoved that symbolic relative entropy can be used to analyze the irreversibility of time series and to assess the health state of human brain. It can be used to assisted clinical diagnosis.

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720-723

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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