Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
http://link.springer.com/content/pdf/10.1007/s11571-016-9408-y.pdf
Reference54 articles.
1. Abualsaud K, Massudi M, Saleh M, Mohamed A (2015) Ensemble classifier for epileptic seizure detection for imperfect EEG data. Sci World J. doi: 10.1155/2015/945689
2. Acharya UR, Molinari F, Vinitha SS, Chattopadhyay S, Kwan-Hoong N, Suri JS (2012a) Automated diagnosis of epileptic EEG using entropies. Biomed Signal Process Control 7(4):401–408. doi: 10.1016/j.bspc.2011.07.007
3. Acharya UR, Alvin AP, Sree SV, Yanti R, Suri JS (2012b) Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals. Int J Neural Syst 22(2):1250002
4. Acharya UR, Sree SV, Suri JS, Alvin AP (2012c) Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework. Exp system Appl 10(39):9072–9078
5. Adeli H, Zhou Z, Dadmehr N (2003) Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 123(1):69–87. doi: 10.1016/S0165-0270(02)00340-0
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