Wavelet Spectral Entropy for Indication of Epileptic Seizure in Extracranial EEG
نویسنده
چکیده
Xiaoli Li Dept. of Automation and Computer-Aided Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong ([email protected]) (Dec. 11, 2002) Abstract: This paper employs wavelet spectral entropy and scale averaged wavelet power to indicate the epileptic seizures in extracranial EEG. However, we found wavelet spectral entropy and scale averaged power are the more efficiency by comparison with renorma lized entropy and Kullback_Leiler (K-L) relative entropy [9] to indicate the epileptic seizures based on five patients. Thereby, the measures of wavelet spectral entropy and scale averaged wavelet power may provide new features to indicate the epileptic seizures in extracranial EEG.
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