683
Environment, Energy and Sustainable Development – Sung, Kao & Chen (eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00053-7
Epilepsy EEG analysis and seizure prediction based on symbolic
entropy
Chong-Qing Hao
School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China
Li-Min Huang
Modern Education and Technology Center, Hebei University of Science and Technology, Shijiazhuang, China
ABSTRACT: While the time series generated by the Logistic map are analyzed using symbolic entropy,
it is found that there is a correlation between symbolic entropy and maximum Lyapunov exponent, and
it shows that the method can reflect complexity degree of signal. Electroencephalogram during epilepsy
seizure and intermittent ...