Expert model for detection of epileptic activity in EEG signature

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 3513-3520

  Gandhi, Tapan ^a,b   Panigrahi, Bijay Ketan ^a   Bhatia, Manvir ^c   Anand, Sneh ^a,b  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^b ALL INDIA INSTITUTE OF MEDICAL SCIENCES   (India)

^c SIR GANGA RAM HOSPITAL   (India)

Author keywords

Approximate energy (EDN); Discrete wavelet transform (DWT); Probabilistic neural network (PNN); Seizure

Indexed keywords

CLASSIFICATION ACCURACY; CROSS VALIDATION; DECOMPOSITION TREES; ENERGY ESTIMATION; EPILEPTIC SEIZURES; EXPERT MODEL; FEATURE VECTORS; PROBABILISTIC NEURAL NETWORKS; SEIZURE DETECTION; SENSITIVITY AND SPECIFICITY; WAVELET COEFFICIENTS;

DEVELOPING COUNTRIES; DISCRETE WAVELET TRANSFORMS; ELECTROENCEPHALOGRAPHY; INDUSTRIAL RESEARCH; SIGNAL PROCESSING; WAVELET DECOMPOSITION;

NEURAL NETWORKS;

EID: 71349088496     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.10.036     Document Type: Article

References (28)

1. Adeli H., Zhou Z., and Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. Journal of Neuroscience Methods 123 (2003) 69-87
2. Boashash B., Mesbah M., and Colditz P. Time frequency analysis (2003), Elsevier Science
3. Chang, J., Luo, Y., Su, K. (1992). GPSM: A Generalized Probabilistic Semantic Model for ambiguity resolution. In Proceedings of the 30th annual meeting on association for computational linguistics (Newark, Delaware, June 28-July 02, 1992). Annual meeting of the ACL. Association for computational linguistics, Morristown, NJ (pp. 177-184).
4. Devijver P.A., and Kittler J. Pattern recognition: A statistical approach (1982), Prentice-Hall, London
5. Goswami J.C. Fundamentals of wavelets (1999), Wiley, New York
6. Hjorth B. EEG analysis based on time domain properties. Electroencephalography and Clinical Neurophysiology 29 (1970) 306-310
7. Iasemidis, L. D., Shiau, D. S., Chaovalitwongsa, W. (2003). Adaptive epileptic seizure predication system. IEEE Transaction Biomedical Engineering, 50(5), 616-627. .
8. Kannathal N., Choo M.L., Acharya U.R., and Sadasivan P.K. Entropy for detection of epilepsy in EEG. Computer Methods and Programs in Biomedicine 80 (2005) 187-194
9. Khan Y.U., and Gotman J. Wavelet based automatic seizure detection in intracerebral electroencephalography. Clinical Neurophysiology 114 (2003) 898-908
10. Kiymik M.K., Subasi A., and Ozealik H.R. Neural networks with periodigram and autoregressive spectral analysis methods in detection of epileptic seizure. Journal of Medical Systems 28 6 (2004) 511-522
11. Kohavi, R. (1995). A study of cross validation and boot strap for accuracy estimation and model selection. In Proceedings of the 14th international joint conference on artificial intelligence (Vol. 2(12), pp. 1137-1143).
12. Kohavi R., and Provost F. Glossary of terms. Editorial for the special Issue on applications of machine learning and the knowledge discovery process. Machine Learning 30 2/3 (1998) 271-274
13. Kurth C., Gilliam F., and Steinhoff B.J. EEG Spike detection with a Kohonen feature map. Annals of Biomedical Engineering 28 (2000) 1362-1369
14. Liu A., Hahn J.S., Heldt G.P., and Coen R.W. Detection of neonatal seizures through computerized EEG analysis. Electroencephalography and Clinical Neurophysiology 82 (1992) 30-37
15. Mallat S. A wavelet tour of signal processing (1998), Academic, London, UK
16. Oeak H. Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm. Signal Processing 88 (2008) 1858-1867
17. Oeak H. Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Systems with Applications (2008)
18. Orr R.K. Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery. Medical Decision Making 17 2 (1997) 178-185
19. Pavlopoulos, S., Istepanian, R. S. H., Kyriacon, E., Koutsounis, D. (2000). Optimal wavelet biosignal compression for mobile multipurpose telemedicine. In Proceedings of IEEE EMBS international conference on information technology application in biomedicine. doi:10.1109/ITAb.2000.892360.
20. Sanei S., and Chambers J.A. EEG signal processing. (pp. 161-195) (2007), John Wiley and Sons, Ltd.
21. Saraceno, B., Avanzini, G., Lee, P. (2005). Atlas; Epilepsy care in the world. Geneva: WHO. .
22. Specht, D., (1998). Probabilistic neural networks for classification mapping, or associative memory. In Proceedings of 1988 IEEE international conference on neural networks (Vol. 1).
23. Subasi A. Epileptic seizure detection using dynamic wavelet network. Expert System with Application 29 (2005) 343-355
24. Subasi A. Automatic detection of epileptic seizure using dynamic fuzzy neural networks. Expert Systems with Applications 31 (2006) 320-328
25. Subasi A. EEG signal classification using wavelet function extraction and a mixture of expert model. Expert System with Application 32 (2007) 1084-1093
26. Specht D. Probabilistic neural networks. Neural Networks 3 (1990)
27. Tazel G., and OZbay Y. A new approach for epileptic seizure detection using adaptive neural network. Expert Systems with Applications 36 (2009) 172-180
28. Tezel G., and Ozbay Y. A new approach for epileptic seizure detection using adaptive neural network. Expert Systems with Applications 36 (2009) 172-180