Combination of EEG complexity and spectral analysis for epilepsy diagnosis and seizure detection

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Liang, Sheng Fu ^a   Wang, Hsu Chuan ^a   Chang, Wan Lin ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEXITY ANALYSIS; EEG COMPLEXITY; EPILEPSY DETECTION; FEATURE REDUCTION; HEALTH CARE PROFESSIONALS; LINEAR MODEL; NON-LINEAR METHODS; NON-LINEAR MODEL; ONLINE PROCESSING; PRINCIPLE COMPONENT ANALYSIS; QUALITY OF LIFE; SEIZURE DETECTION; SPECTRAL ANALYSIS; SYSTEMATIC EVALUATION; WARNING SIGNALS;

PERSONAL COMPUTERS; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS;

ELECTROENCEPHALOGRAPHY;

EID: 77954612893     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/853434     Document Type: Article

References (49)

1. Engel J., Seizure and Epilepsy 1989 Philadelphia, Pa, USA Davis
2. Lehnertz K., Mormann F., Kreuz T., Seizure prediction by nonlinear EEG analysis IEEE Engineering in Medicine and Biology Magazine 2003 22 1 57 63
3. Subasi A., Epileptic seizure detection using dynamic wavelet network Expert Systems with Applications 2005 29 2 343 355
4. Iasemidis L. D., Epileptic seizure prediction and control IEEE Transactions on Biomedical Engineering 2003 50 5 549 558
5. Stacey W. C., Litt B., Technology insight: neuroengineering and epilepsydesigning devices for seizure control Nature Clinical Practice Neurology 2008 4 4 190 201
6. Iasemidis L. D., Zaveri H. P., Sackellares J. C., Williams W. J., Hood T. W., Nonlinear dynamics of electrocorticographic data Journal of Clinical Neurophysiology 1988 5 339
7. Iasemidis L. D., Sackellares J. C., Zaveri H. P., Williams W. J., Phase space topography and the lyapunov exponent of electrocorticograms in partial seizures Brain Topography 1990 2 3 187 201
8. Kannathal N., Choo M. L., Acharya U. R., Sadasivan P. K., Entropies for detection of epilepsy in EEG Computer Methods and Programs in Biomedicine 2005 80 3 187 194
9. Li X., Ouyang G., Richards D. A., Predictability analysis of absence seizures with permutation entropy Epilepsy Research 2007 77 1 70 74
10. Rosso O. A., Blanco S., Yordanova J., Wavelet entropy: a new tool for analysis of short duration brain electrical signals Journal of Neuroscience Methods 2001 105 1 65 75
11. Rosso O. A., Entropy changes in brain function International Journal of Psychophysiology 2007 64 1 75 80
12. Srinivasan V., Eswaran C., Sriraam N., Approximate entropy-based epileptic EEG detection using artificial neural networks IEEE Transactions on Information Technology in Biomedicine 2007 11 3 288 295 (Pubitemid 46758846)
13. Van Hese P., Martens J.-P., Boon P., Dedeurwaerdere S., Lemahieu I., Van de Walle R., Detection of spike and wave discharges in the cortical EEG of genetic absence epilepsy rats from Strasbourg Physics in Medicine and Biology 2003 48 12 1685 1700
14. Srinivasan V., Eswaran C., Sriraam A. N., Artificial neural network based epileptic detection using time-domain and frequency-domain features Journal of Medical Systems 2005 29 6 647 660
15. Schuyler R., White A., Staley K., Cios K. J., Epileptic seizure detection IEEE Engineering in Medicine and Biology Magazine 2007 26 2 74 81
16. Bosnyakova D., Gabova A., Zharikova A., Gnezditski V., Kuznetsova G., van Luijtelaar G., Some peculiarities of time-frequency dynamics of spike-wave discharges in humans and rats Clinical Neurophysiology 2007 118 8 1736 1743
17. Ghosh-Dastidar S., Adeli H., Dadmehr N., Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection IEEE Transactions on Biomedical Engineering 2007 54 9 1545 1551
18. Ghosh-Dastidar S., Adeli H., Dadmehr N., Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection IEEE Transactions on Biomedical Engineering 2008 55 2 512 518
19. Alkan A., Koklukaya E., Subasi A., Automatic seizure detection in EEG using logistic regression and artificial neural network Journal of Neuroscience Methods 2005 148 2 167 176 (Pubitemid 41476228)
20. Acr N., ztura., Kuntalp M., Baklan B., Gzeli C., Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks IEEE Transactions on Biomedical Engineering 2005 52 1 30 40
21. Andrzejak R. G., Lehnertz K., Mormann F., Rieke C., David P., Elger C. E., 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 2001 64 8
22. Andrzejak R. G., EEG time series download page. http://www.meb.uni-bonn. de/epileptologie/cms/upload/workgroup/lehnertz/eegdata.html
23. Nigam V. P., Graupe D., A neural-network-based detection of epilepsy Neurological Research 2004 26 1 55 60
24. Polat K., Gnes S., Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform Applied Mathematics and Computation 2007 187 2 1017 1026
25. Subasi A., EEG signal classification using wavelet feature extraction and a mixture of expert model Expert Systems with Applications 2007 32 4 1084 1093
26. Tzallas A. T., Tsipouras M. G., Fotiadis D. I., Automatic seizure detection based on time-frequency analysis and artificial neural networks Computational Intelligence and Neuroscience 2007 2007 13
27. Ocak H., Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm Signal Processing 2008 88 7 1858 1867
28. Gler N. F., beyli E. D., Gler I., Recurrent neural networks employing Lyapunov exponents for EEG signals classification Expert Systems with Applications 2005 29 3 506 514
29. Sadati N., Mohseni H. R., Maghsoudi A., Epileptic seizure detection using neural fuzzy networks Proceedings of IEEE International Conference on Fuzzy Systems July 2006 Vancouver, Canada 596 600
30. Mousavi S. R., Niknazar M., Vahdat B. V., Epileptic seizure detection using AR model on EEG signals Proceedings of Cairo International Biomedical Engineering Conference (CIBEC '08) December 2008 Cairo, Egypt 1 4
31. beyli E. D., Gler I., Features extracted by eigenvector methods for detecting variability of EEG signals Pattern Recognition Letters 2007 28 5 592 603
32. Gler I., beyli E. D., Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients Journal of Neuroscience Methods 2005 148 2 113 121
33. Gler I., beyli E. D., Multiclass support vector machines for EEG-signals classification IEEE Transactions on Information Technology in Biomedicine 2007 11 2 117 126
34. Tzallas A. T., Tsipouras M. G., Fotiadis D. I., Epileptic seizure detection in EEGs using time-frequency analysis IEEE Transactions on Information Technology in Biomedicine 2009 13 5 703 710
35. Pincus S. M., Approximate entropy as a measure of system complexity Proceedings of the National Academy of Sciences of the United States of America 1991 88 6 2297 2301
36. Richman J. S., Moorman J. R., Physiological time-series analysis using approximate and sample entropy American Journal of Physiology 2000 278 6 H2039 H2049
37. Lin C.-T., Wu R.-C., Jung T.-P., Liang S.-F., Huang T.-Y., Estimating driving performance based on EEG spectrum analysis EURASIP Journal on Applied Signal Processing 2005 2005 19 3165 3174
38. Thakor N. V., Tong S., Advances in quantitative electroencephalogram analysis methods Annual Review of Biomedical Engineering 2004 6 453 495
39. Kay S. M., Modern Spectral Estimation: Theory and Application 1988 Hall Englewood Cliffs, NJ, USA Prentice Hall
40. Mitchell M., An Introduction to Genetic Algorithms 1988 Cambriduge, Mass, USA MIT Press
41. Golub G., Numerical methods for solving linear least squares problems Numerische Mathematik 1965 7 3 206 216
42. Friedman L. B., Regularized discriminant analysis Journal of the American Statistical Association 1989 84 405 165 175
43. Rumelhart D. E., Hinton G. E., Williams R. J., Learning representations by back-propagating errors Nature 1986 323 6088 533 536
44. Cortes C., Vapnik V., Support-vector networks Machine Learning 1995 20 3 273 297
45. Kuo B.-C., Landgrebe D. A., Nonparametric weighted feature extraction for classification IEEE Transactions on Geoscience and Remote Sensing 2004 42 5 1096 1105
46. Lin C.-T., Lin K.-L., Ko L.-W., Liang S.-F., Kuo B.-C., Chung I.-F., Nonparametric single-trial EEG feature extraction and classification of driver's cognitive responses EURASIP Journal on Applied Signal Processing 2008 2008 10
47. Lin C.-T., Yeh C.-M., Liang S.-F., Chung J.-F., Kumar N., Support-vector-based fuzzy neural network for pattern classification IEEE Transactions on Fuzzy Systems 2006 14 1 31 41
48. Li X., Ouyang G., Richards D. A., Predictability analysis of absence seizures with permutation entropy Epilepsy Research 2007 77 1 70 74
49. Shaw F.-Z., Is spontaneous high-voltage rhythmic spike discharge in Long Evans rats an absence-like seizure activity? Journal of Neurophysiology 2004 91 1 63 77