Epilepsy Abnomal Electroencephalagram Analysis Based on Symbolic Relative Entropy
Zhang Mei, Jun Chang Zhao, Zheng Zhong Zheng, Jia Fei Dai, Jun Wang · Applied Mechanics and Materials · 2013
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.