1. PINCUS S M. Approximate entropy as a measure of system complexity[J]. Proc Natl Acad Sci U S A, 1991, 88(6):2297-2301.
[2]
2. RICHMAN J S, MOORMAN J R. Physiological time-series analysis using approximate entropy and sample entropy[J]. Am J Physiol Heart Circ Physiol, 2000, 278(6):H2039-H2049.
[3]
3. LAKE D E, RICHMAN J S, GRIFFIN M P, et al. Sample entropy analysis of neonatal heart rate variability[J]. Am J Physiol Regul Integr Comp Physiol, 2002, 283(3):R789-R797.
[4]
4. AKAREDDY M S, KULKARNI P K. EEG signal classification for epilepsy seizure detection using improved approximate entropy[J].Int J Public Health Sci, 2013, 2(1):23-32.
8. GüLER ?, üBEYLI E D. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients[J]. J Neurosci Methods, 2005, 148(2):113-121.
10. ACHARYA U R, MOLINARI F, SREE S V, et al. Automated diagnosis of epileptic EEG using entropies[J]. Biomed Signal Process Control, 2012, 7(1):401-408.
[11]
11. AHMED M U, MANDIC D P. Multivariate multiscale entropy:a tool for complexity analysis of multichannel data[J]. Phys Rev E Stat Nonlin Soft Matter Phys, 2011, 84(6 Pt 1):061918.
[12]
12. CAO L, MEES A, JUDD K. Dynamics from multivariate time series[J]. Phys D:Nonlinear Phenomena, 1998, 121(2):75-88.
[13]
13. COSTA M, PENG C K, GOLDBERGER A L, et al. Multiscale entropy analysis of human gait dynamics[J]. Physica A, 2003, 330:53-60.
15. POLAT K, GUNES S. Classification of epilepty form EEG using a hybrid system based on decision tree classifier and fast Fourier transform[J]. Appl Math Comput, 2007, 187(2):1017-1026.
[16]
16. LIMA C A, COELHO A L, EISENCRAFT M. Tackling EEG signal classification with least squares support vector machines:a sensitivity analysis study[J]. Comput Biol Med, 2010, 40(8):705-714.
[17]
17. ISCAN Z, DOKUR Z, DEMIRALP T. Classification of electroencephalogram signals with combined time and frequency features[J]. Expert Syst Appl, 2011, 38(8):10499-10505.
[18]
18. GUO L, RIVERO D, DORADO J, et al. Automatic feature extraction using genetic programming:an application to epileptic EEG classification[J]. Expert Syst Appl, 2011, 38(8):10425-10436.
[19]
19. CHUA K C, CHANDRAN V, ACHARYA R, et al. Automatic identification of epilepsy by HOS and power spectrum parameters using EEG signals:a comparative study[J]. Conf Proc IEEE Eng Med Biol Soc, 2008, 2008:3824-3827.
[20]
20. TZALLAS A T, TSIPOURAS M G, FOTIADIS D I. Epileptic seizure detection in EEGs using time-frequency analysis[J]. IEEE Trans Inf Technol Biomed, 2009, 13(5):703-710.
[21]
21. LIANG S F, WANG H C, CHANG W L. Combination of EEG complexity and spectral analysis forepilepsy diagnosis and seizure detection[J]. EURASIP J Adv Signal Proces, 2010, 2010:62.