Automated diagnosis of epileptic EEG using entropies

Biomedical Signal Processing and Control

Volumn 7, Issue 4, 2012, Pages 401-408

  Acharya, U Rajendra ^a   Molinari, Filippo ^b   Sree, S Vinitha ^c   Chattopadhyay, Subhagata ^d   Ng, Kwan Hoong ^e   Suri, Jasjit S ^f,g  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b POLITECNICO DI TORINO   (Italy)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^e UNIVERSITY OF MALAYA   (Malaysia)

^f Global Biomedical Technologies   (United States)

^g IDAHO STATE UNIVERSITY   (United States)

Author keywords

Classifiers; EEG; Entropy; Epilepsy; Feature extraction; Preictal

Indexed keywords

CLASSIFIERS; DECISION TREES; ELECTROENCEPHALOGRAPHY; ENTROPY; FEATURE EXTRACTION; FUZZY SETS; GAUSSIAN DISTRIBUTION; NEAREST NEIGHBOR SEARCH; NEUROLOGY; SUPPORT VECTOR MACHINES;

ELECTRO-ENCEPHALOGRAM (EEG); EPILEPSY; GAUSSIAN MIXTURE MODEL; K NEAREST NEIGHBOURS (K-NN); NAIVE BAYES CLASSIFIERS; NEUROLOGICAL DISORDERS; PREICTAL; PROBABILISTIC NEURAL NETWORKS;

BIOMEDICAL SIGNAL PROCESSING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; CONTROLLED STUDY; DECISION TREE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTROENCEPHALOGRAM; ENTROPY; EPILEPSY; FUZZY SYSTEM; HUMAN; K NEAREST NEIGHBOR; KERNEL METHOD; MAJOR CLINICAL STUDY; METHODOLOGY; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SUPPORT VECTOR MACHINE;

EID: 84859212205     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2011.07.007     Document Type: Article

References (60)

1. R. Fisher, W. van Emde Boas, W. Blume, C. Elger, P. Genton, P. Lee, and J. Engel Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) Epilepsia 46 4 2005 470 472 (Pubitemid 40470667)
2. R.A.S. Ruiz, R. Ranta, and V. Louis-Dorr EEG montage analysis in the Blind Source Separation framework Biosignal Processing and Control 6 1 2010 77 84
3. D. Coyle, T.M. McGinnity, and G. Prasad Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing Biosignal Processing and Control 5 3 2010 196 204
4. N.F. Ince, F. Goksu, A.H. Tewfik, and S. Arica Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface Biosignal Processing and Control 4 3 2009 236 246
5. S.M. Zhuo, J.Q. Gan, and F. Sepulveda Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface Information Sciences 178 6 2008 1629 1640
6. A. Babloyantz, C. Nicolis, and J.M. Salazar Evidence of chaotic dynamics of brain activity during the sleep cycle Physics Letters 111A 1985 152 157
7. D.P. Subha, K.P. Joseph, U.R. Acharya, and C.M. Lim EEG signal processing: a survey Journal of Medical Systems 34 2 2010 195 212
8. N. Kannathal, U.R. Acharya, C.M. Lim, and P.K. Sadasivan Characterization of EEG - a comparative study Computer Methods and Programs in Biomedicine 80 1 2005 17 23 (Pubitemid 41338550)
9. F. Mormann, T. Kreuz, R.G. Andrzejak, D. Peter, K. Lehnertz, and C.E. Elger Epileptic seizures are preceded by a decrease in synchronization Epilepsy Research 53 2003 173 185 (Pubitemid 36419610)
10. F. Mormann, K. Thomas, R. Christoph, R. Andrzejak, A. Kraskov, P. David, C.E. Elger, and K. Lehnertz On the predictability of epileptic seizures Clinical Neurophysiology 116 2005 569 587 (Pubitemid 40249825)
11. K. Lehnertz Epilepsy and nonlinear dynamics Journal of Biological Physics 33 3-4 2008 253 266
12. R.G. Andrzejak, K. Lehnertz, C. Rieke, F. Mormann, P. David, and C.E. Elger Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: dependence on recording region and brain state Physical Review E 64 2001 061907
13. R.G. Andrzejak, G. Widman, K. Lehnertz, C. Rieke, P. David, and C.E. Elger The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy Epilepsy Research 44 2 2001 129 140 (Pubitemid 32452223)
14. N. Kannathal, C.M. Lim, U.R. Acharya, and P.K. Sadasivan Entropies for detection of epilepsy in EEG Computer Methods and Programs in Biomedicine 80 3 2005 187 194 (Pubitemid 41619331)
15. U.R. Acharya, N. Kannathal, and S.M. Krishnan Comprehensive analysis of cardiac health using heart rate signals Physiological Measurement Journal 25 2004 1130 1151
16. S.M. Pincus Approximate entropy as a measure of system complexity Proceedings of the National Academy of Sciences 88 1991 2297 2301 (Pubitemid 21916403)
17. D. Kaplan, M.I. Furman, S.M. Pincus, S.M. Ryan, L.A. Lipsitz, and A.L. Goldberger Aging and the complexity of cardiovascular dynamics Biophysical Journal 59 1991 945 949
18. M.B. Kennel, R. Brown, and H.D. Abarbanel Determining embedding dimension for phase-space reconstruction using a geometrical construction Physical Review A 45 1992 3403 3411
19. K.C. Chua, V. Chandran, U.R. Acharya, and C.M. Lim Analysis of epileptic EEG signals using higher order spectra Journal of Medical & Engineering Technology 33 1 2009 42 50
20. K.C. Chua, V. Chandran, U.R. Acharya, and C.M. Lim Automatic identification of epileptic EEG signals using higher order spectra Journal of Engineering in Medicine 223 4 2009 485 495
21. J. Han, M. Kamber, and J. Pei Data Mining: Concepts and Techniques 2005 Morgan Kaufmann
22. I.M. Kapetanovic, S. Rosenfeld, and G. Izmirlian Overview of commonly used bioinformatics methods and their applications Annals of the New York Academy of Sciences 1020 2004 10 21 (Pubitemid 38736920)
23. D.F. Specht Probabilistic neural networks Neural Networks 3 1 1990 109 118
24. H.J. Motulsky Intuitive Biostatistics second ed. 2010 Oxford University Press
25. C.K. Chua, V. Chandran, U.R. Acharya, C.M. Lim, Application of higher order spectra to identify epileptic EEG, Journal of Medical Systems (2010), doi:10.1007/s10916-010-9433-z.
26. J. Martinerie, C. Adam, M. Le van Quyen, M. Baulac, B. Renault, and F.J. Varela Can epileptic crisis be anticipated? Nature Medicine 4 1998 1173 1176
27. L.D. Lasemidis, D.S. Shiau, J.C. Sackellares, P.M. Pardalos, and A. Prasad Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques IEEE transactions on Biomedical Engineering 51 3 2004 493 506 (Pubitemid 38233790)
28. C. Petitmengin, M. Baulac, and V. Navarro Seizure anticipation: are neuro-phenomenological approaches able to detect pre-ictal symptoms? Epilepsy & Behaviour 9 2 2006 298 306 (Pubitemid 44283808)
29. J.W. Sleigh, E. Olofsen, A. Dahan, J. Goede de, and A. Steyn-Ross Entropies of the EEG: the effects of general anaesthesia Proceedings of the 5th International Conference on Memory, Awareness and Consciousness, USA 2001
30. U.R. Acharya, Oliver Faust, N. Kannathal, TjiLeng Chua, and Swamy Laxminarayan Nonlinear analysis of EEG signals at different sleep stages Computer Methods and Programs in Biomedicine 80 1 2005 37 45 (Pubitemid 41338552)
31. N. Sadati, H.R. Mohseni, and A. Magshoudi Epileptic seizure detection using neural fuzzy networks Proceedings of the IEEE International Conference on Fuzzy Systems, Canada 2006 596 600 (Pubitemid 46948816)
32. A. Subasi EEG Signal classification using wavelet feature extraction and a mixture of expert model Expert Systems with Applications 32 4 2007 1084 1093 (Pubitemid 44821797)
33. V. Srinivasan, C. Eswaran, and N. Sriraam Approximate entropy-based epileptic EEG detection using artificial neural networks IEEE Transaction on Information Technology in Biomedicine 11 3 2007 288 295 (Pubitemid 46758846)
34. A.T. Tzallas, M.G. Tsipouras, and D.I. Fotiadis Automatic seizure detection based on time-frequency analysis and artificial neural networks Computational Intelligence and Neuroscience 18 2007
35. N.F. Guler, E.D. Ubey, and I. Guler Recurrent neural network employing Lyapunov exponents for EEG signals classification Expert Systems with Applications 29 3 2005 506 514 (Pubitemid 41230775)
36. S. Ghosh-Dastidar, H. Adeli, and N. Dadmehr Mixed band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection IEEE Transactions on Biomedical Engineering 54 9 2007 1545 1551 (Pubitemid 47301028)
37. U.R. Acharya, K.C. Chua, T.C. Lim, Dorithy, and J.S. Suri Automatic identification of epileptic EEG signals using nonlinear parameters Journal of Mechanics in Medicine and Biology 9 4 2009 539 553
38. O. Faust, U.R. Acharya, C.M. Lim, and B. Sputh Automatic identification of epileptic and background EEG signals using frequency domain parameters International Journal of Neural Systems 20 2 2010 159 176
39. U.R. Acharya, S.V. Sree, S. Chattopadhyay, W. Yu, and A.P.C. Alvin Application of recurrence quantification analysis for the automated identification of epileptic EEG signals International Journal of Neural Systems 21 3 2011 199 211
40. EEG time series data (Department of Epileptology University of Bonn). http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html. (accessed February 2011).
41. S. Ghosh-Dastidar, and H. Adeli Improved spiking neural networks for EEG classification and epilepsy and seizure detection Integrated Computer-Aided Engineering 14 3 2007 187 212 (Pubitemid 47191475)
42. S. Ghosh-Dastidar, and H. Adeli A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection Neural Networks 22 10 2009 1419 1431
43. P. Grossberger, and I. Procassia Measuring the strangeness of strange attractors Physica D 9 1983 189 208
44. K. Lehnertz, and C.E. Elger Can epileptic seizures be predicted? Evidence from nonlinear time series analyses of brain electrical activity Physical Review Letters 80 1988 5019 5023
45. V.P. Nigam, and D. Graupe A neural-network-based detection of epilepsy Neurology Research 26 6 2004 55 60 (Pubitemid 38174388)
46. C.L. Nikias, and A.P. Petropulu Higher-Order Spectra Analysis: A Nonlinear Signal Processing Framework 1993 Englewood Cliffs, PTR Prentice Hall New Jersey
47. H. Ocak Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy Expert Systems with Applications 36 2 2009 2027 2036
48. PhysioToolkit. http://physionet.incor.usp.br/physiotools/sampen/ (accessed February 2011).
49. S.M. Pincus, and D.L. Keefe Quantification of hormone pulsatility via an approximate entropy algorithm American Journal of Physiology 262 1992 E741 E754
50. K. Polat, and S. Guenes Classification of epileptiform EEG using a hybrid systems based on decision tree classifier and fast Fourier transform Applied Mathematics and Computation 32 2 2007 625 631
51. F. Ravelli, and R. Antolini Complex dynamics underlying the human electroencephalogram Biological Cybernetics 67 1992 57 65
52. J.S. Richman, and J.R. Moorman Physiological time-series analysis using approximate entropy and sample entropy American Journal of Physiology 278 6 2000 H2039 H2049
53. T.J. Ross Fuzzy Logic with Engineering Applications 2004 John Wiley & Sons Ltd. West Sussex, UK
54. Y. Song, and P. Liò A new approach for epileptic seizure detection: sample entropy based feature extraction and extreme learning machine Journal of Biomedical Science and Engineering 3 6 2010 556 567
55. A. Subasi, and M.I. Gursoy EEG Signal classification using PCA, ICA, LDA and support vector machine Expert Systems with Applications 37 2010 8659 8666
56. N.V. Thakor, and S. Tong Advances in quantitative electroencephalogram analysis methods Annual Reviews 6 2004 453 495 (Pubitemid 39209505)
57. Y. Yaari, and H. Beck Epileptic neurons in temporal lobe epilepsy Brain Pathology 12 2002 234 239 (Pubitemid 34259925)
58. WHO Report, http://www.who.int/mediacentre/factsheets/fs999/en/index.html (accessed February 2011).
59. V. Srinivasan, C. Eswaran, and N. Sriraam Artificial neural network based epileptic detection using time-domain and frequency domain features Journal of Medical Systems 29 6 2005 647 660 (Pubitemid 41225146)
60. S. Ghosh-Dastidar, H. Adeli, and N. Dadmehr Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection IEEE Transactions on Biomedical Engineering 55 2 2008 512 518