Classification of EEG Signals Based on Autoregressive Model and Wavelet Packet Decomposition

Liang NY, Saratchandran P, Huang GB, Sundararajan N (2006) Classification of mental tasks from EEG signals using extreme learning machine. Int J Neural Syst 16(1):29–38

Zhao H, Guo X, Wang M et al (2015) Analyze EEG signals with extreme learning machine based on PMIS feature selection. Int J Mach Learn Cybern. doi: 10.1007/s13042-015-0378-x

Liew S-H, Choo Y-H, Low YF et al (2015) Comparing features extraction methods for person authentication using EEG signals. In: Abraham A et al (eds) Pattern analysis, intelligent security and the internet of things. Advances in Intelligent Systems and Computing, New York, pp 225–235

Lawhern V, Hairston WD, McDowell K, Westerfield M, Robbins K (2012) Detection and classification of subject-generated artifacts in EEG signals using autoregressive models. J Neurosci Methods 208:181–189

Hu D, Li W, Chen X (2011) Feature extraction of motor imagery EEG signals based on wavelet packet decomposition. IEEE/ICME International Conference on Complex Medical Engineering (CME), pp 694–697

Yentes JM, Hunt N, Schmid KK, Kaipust JP, Mcgrath D, Stergiou N (2013) The appropriate use of approximate entropy and sample entropy with short data sets. Annal Biomed Eng 41(2):349–365

Pincus SM (1991) Approximate entropy as a measure of system complexity. Proc Natl Acad Sci USA 88(6):2297–2301

Richman JS, Moorman JR (2000) Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circul Physiol 278(6):H2039–H2049

Srinivasan V, Eswaran C, Sriraam N (2007) Approximate entropy-based epileptic EEG detection using artificial neural networks. IEEE Trans Inform Technol Biomed 11(3):288–295

Guo L, Wu Y, Cao T, Yan W, Shen X (2011) Classification of mental task from EEG signals using immune feature weighted support vector machines. IEEE Trans Magnet 47(5):866–869

Li S, Zhou W, Yuan Q, Geng S, Cai D (2013) Feature extraction and recognition of ictal EEG using EMD and SVM. Comput Biol Med 43(7):807–816

Ianez E, Azorin JM, Ubeda A, Fernandez E, Sirvent JL (2010) LDA-based Classifiers for a mental tasks-based brain-computer interface. In: Proceeding of the 2010 IEEE International Conference on Systems man and Cybernetics (SMC 2010), 10–13 Oct. IEEE Press, pp 546–551

Zhang Y, Zhang YT, Wang JY, Zheng XW (2015) Comparison of classification methods on EEG signals based on wavelet packet decomposition. Neural Comput Appl 26(5):1217–1225

Huang GB, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489–501

Song Y, Crowcroft J, Zhang J (2012) Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine. J Neurosci Methods 210(2):132–146

Yuan Q, Zhou W, Li S, Cai D (2011) Epileptic EEG classification based on extreme learning machine and nonlinear feature. Epilepsy Res 96(1–2):29–38

Anderson CW, Stolz EA, Shamsunder S (1998) Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks. IEEE Trans Biomed Eng 45(3):277–286

Hoang T, Tran D, Nguyen P, Huang X, Sharma D (2011) Experiments on using combined short window bivariate autoregression for EEG classification. In: Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, April 27-May 1. pp 372–375

Nguyen T, Khosravi A, Creighton D, Nahavandi S (2015) EEG data classification using wavelet features selected by Wilcoxon statistics. Neural Comput Appl 26:1193–1202

Subasi A, Gursoy MI (2010) EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Syst Appl 37(12):8659–8666

Kumar Y, Dewal ML, Anand RS (2014) Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network. Signal, Image and Video Processing 8(7):1323–1334

Kumar Y, Dewal ML, Anand RS (2014) Epileptic seizures detection using DWT based fuzzy approximate entropy and support vector machine. Neurocomputing 133:271–279

Keirn ZA, Aunon JI (1990) A new mode of communication between man and his surroundings. IEEE Trans Biomed Eng 37(12):1209–1214

Wu T, Yan G, Yang B, Sun H (2008) EEG feature extraction based on wavelet packet decomposition for brain computer interface. Measurement 41:618–625

Vapnik V (1995) The nature of statistical learning theory. Springer, New York