Epileptic seizure detection using artificial neural network and a new feature extraction approach based on equal width discretization;Eşi̇t geni̇şli̇kli̇ ayriklaştirma yöntemi̇ne dayali yeni̇ bi̇r özelli̇k çikartma yaklaşimi ve yapay si̇ni̇r aǧi kullanarak epi̇lepti̇k atak tespi̇ti̇

Journal of the Faculty of Engineering and Architecture of Gazi University

Volumn 26, Issue 3, 2011, Pages 575-580

  Orhan, Umut ^a   Hekim, Mahmut ^a   Özer, Mahmut ^b  

^a GAZIOSMANPASA UNIVERSITY   (Turkey)

^b ZONGULDAK KARAELMAS UNIVERSITY   (Turkey)

Author keywords

Biomedical signal processing; EEG signals; Epileptic seizure detection; Equal width discretization; Histogram; Multilayer perceptron neural network

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DISCRETIZATIONS; EEG SIGNALS; EPILEPTIC SEIZURE DETECTION; HISTOGRAM; MULTILAYER PERCEPTRON NEURAL NETWORK;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; GRAPHIC METHODS; MULTILAYERS; NEURODEGENERATIVE DISEASES; SIGNAL DETECTION; STATISTICAL METHODS;

NEURAL NETWORKS;

EID: 80053237363     PISSN: 13001884     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Adeli, H., Zhou, Z., ve Dadmehr, N., "Analysis of EEE Records in an Epileptic Patient using Wavelet Transform", Journal of Neuroscience Methods, No 123, 69-87, 2003. (Pubitemid 36173654)
2. Güler, L, ve Übeyli, E. D., "Adaptive Neuro-Fuzzy Inference System for Classification of EEG Signals using Wavelet Coefficients", Journal of Neuroscience Methods, No 148, 113-121, 2005. (Pubitemid 41476221)
3. Khan, Y. U., ve Gotman, J., "Wavelet Based Automatic Seizure Detection in Intra-cerebral Electroencephalogram", Clinical Neurophysiology, No 114, 898-908, 2003. (Pubitemid 36556101)
4. Kiymik, M. K., Akin, M, ve Subaşi, A., "Automatic Recognition of Alertness Level by using Wavelet Transform and Artificial Neural Network", Journal of Neuroscience Methods, No 139, 231-240, 2004. (Pubitemid 39370849)
5. Ocak, H., "Automatic Detection of Epileptic Seizures in EEG using Discrete Wavelet Transform and Approximate Entropy", Expert Systems with Applications, No 36, 2027-2036, 2009.
6. Subaşi, A., "Automatic Recognition of Alertness Level from EEG by using Neural Network and Wavelet Coefficients", Expert Systems with Applications, No 28, 701-711, 2005. (Pubitemid 40583848)
7. Subaşi, A., "Epileptic Seizure Detection using Dynamic Wavelet Network", Expert Systems with Applications, No 29, 343-355, 2005. (Pubitemid 40982998)
8. Subaşi, A., "Automatic Detection of Epileptic Seizure using Dynamic Fuzzy Neural Networks", Expert Systems with Applications, No 31, 320-328, 2006.
9. Subaşi, A., "EEG Signal Classification using Wavelet Feature Extraction and a Mixture of Expert Model", Expert Systems with Applications, No 32, 1084-1093, 2007. (Pubitemid 44821797)
10. Übeyli, E. D., "Combined Neural Network Model Employing Wavelet Coefficients for EEG Signals Classification", Digital Signal Processing, No 19, 297-308, 2009.
11. Übeyli, E. D., "Decision Support Systems for Time-Varying Biomedical Signals: EEG Signals Classification", Expert Systems with Applications, No 36, 2275-2284, 2009.
12. Alkan, A., Köklükaya, E., ve Subaşi, A., "Automatic Seizure Detection in EEG using Logistic Regression and Artificial Neural Network", Journal of Neuroscience Methods, No 148, 167-176, 2005. (Pubitemid 41476228)
13. Subaşi, A., ve Ercelebi, E., "Classification of EEG Signals using Neural Network and Logistic Regression", Computer Methods and Programs in Biomedicine, No 78, 87-99, 2005. (Pubitemid 40575687)
14. Altunay, S., Telatar, Z., ve Eroǧul, O., "Epileptic EEG Detection using the Linear Prediction Error Energy", Expert Systems with Applications, Cilt 37, No 8, 5661-5665, 2010.
15. Acir, N., "Automated System for Detection of Epileptiform Patterns in EEG by using a Modified RBFN Classifier", Expert Systems with Applications, Cilt 29, No 2, 455-462, 2005. (Pubitemid 40970654)
16. Subaşi, A., "Application of Adaptive Neuro-Fuzzy Inference System for Epileptic Seizure Detection using Wavelet Feature Extraction", Computers in Biology and Medicine, Cilt 37, No 2, 227-244, 2007. (Pubitemid 44909087)
17. Aslan, K., Bozdemir, H., Şahin, S., Oǧulata, S. N., ve Erol, R., "A Radial Basis Function Neural Network Model for Classification of Epilepsy using EEG Signals", The Journal of Medical Systems, No 32, 403-408, 2008.
18. Petrosian, A., Prokhorov, D., Homan, R., Dashei, R., ve Wunsch, D., "Recurrent Neural Network Based Prediction of Epileptic Seizures in Intra and Extra-cranial EEG", Neurocomputing, No 30, 201-218, 2000.
19. Srinivasan, V., Eswaran, C, ve Sriraam, N., "Artificial Neural Network based Epileptic Detection using Time-Domain and Frequency-Domain Features", Journal of Medical Systems, Cilt 29, No 6, 647-660, 2005. (Pubitemid 41225146)
20. Pradhan, N., Sadasivan, P. K., ve Arunodaya, G. R., "Detection of Seizure Activity in EEG by an Artificial Neural Network: A Preliminary Study", Computers and Biomedical Research, No 29, 303-313, 1996. (Pubitemid 26301913)
21. Übeyli, E. D., "Analysis of EEG Signals by Combining Eigenvector Methods and Multi-class Support Vector Machines", Computers in Biology and Medicine, Cilt 38, No 1, 14-22, 2008.
22. Kiymik, M. K., Subaşi, A., ve Özçalik, H. R., "Neural Networks with Periodogram and Autoregressive Spectral Analysis Methods in Detection of Epileptic Seizure", Journal of Medical Systems, Cilt 28, No 6, 511-522, 2004. (Pubitemid 39388721)
23. Kiymik, M. K., Güler, İ, Dizibüyük, A., and Akin, M., "Comparison of STFT and Wavelet Transform Methods in Determining Epileptic Seizure Activity in EEG Signals for Real-time Application", Computers in Biology and Medicine, Cilt 35, No 7, 603-616, 2005. (Pubitemid 40487489)
24. Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., ve 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, Cilt 64, No 6, 061907, 2001.
25. Hsu, C. N., Huang, H., J., Wong, T. T., "Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers", Machine Learning, Cilt 53, No 3, 235-263, 2003.
26. Jiang, S., Li, X., Zheng, Q., ve Wang, L., "Approximate Equal Frequency Discretization Method", Global Congress on Intelligent Systems, 514-518, 2009.
27. Tay, E. H., ve Shen, L., "A Modified Chi2 Algorithm for Discretization", IEEE Transactions on Knowledge and Data Engineering, Cilt 14, No 3, 666-670, 2002. (Pubitemid 34669623)
28. Gang, L. ve Tong, F., "An Unsupervised Discretization Algorithm based on Mixture Probabilistic Model", Chinese Journal of Computers, Cilt 25, No 2, 158-164, 2002. (Pubitemid 35021162)
29. Lee, C. H., "A Hellinger-based Discretization Method for Numeric Attributes in Classification Learning", Knowledge-Based Systems, Cilt 20, No 4, 419-425, 2007.
30. Fayyad, U. M, ve Irani, K. B., "Multi-interval Discretization of Continuous Valued Attributes for Classification Learning", Proc. of the 13th International Joint Conference on Artificial Intelligence, 1022-1029, 1993.
31. Clarke, E. J. ve Braton, B. A., "Entropy and MDL Discretization of Continuous Variables for Bayesian Belief Networks", International Journal of Intelligence Systems, No 15, 61-92, 2000. (Pubitemid 30545470)
32. Xi, J., Ouyang, W. M., "Clustering based Algorithm for Best Discretizing Continuous Valued Attributes", Mini-micro systems, Cilt 21, No 10, 1025-1027, 2000.