Automatic detection of epileptic seizure using time-frequency distributions

IET Conference Publications

Volumn , Issue 520, 2006, Pages 29-

  Mohseni, H R ^a   Maghsoudi, A ^a   Kadbi, M H ^a   Hashemi, J ^a   Ashourvan, A ^b  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Curve fitting; Electroencephalogram (EEG); Epileptic seizure; Neural networks; Time frequency

Indexed keywords

BACKPROPAGATION; CURVE FITTING; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; PARAMETER ESTIMATION; SIGNAL PROCESSING; WAVELET TRANSFORMS;

AUTOMATIC DETECTION; EPILEPTIC SEIZURE; FEEDFORWARD BACKPROPAGATION NEURAL NETWORKS (FBNN); TIME FREQUENCY;

ELECTROENCEPHALOGRAPHY;

EID: 34047116414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20060378     Document Type: Conference Paper

References (13)

1. Iasemidis, L. D., Shiau, D. S., Chaovalitwongse, W., Sackellares, J. C., Pardalos, P. M., Principe, J. C., et al (2003). "Adaptive epileptic seizure prediction system," IEEE Transactions on Biomedical Engineering, 50(5), 616-627.
2. Adeli, H., Zhou, Z., & Dadmehr, N. (2003). Analysis of EEG records in an epileptic patient using wavelet transform. Journal of Neuroscience Methods, 123, 69-87.
3. Haselsteiner, E., & Pfurtscheller, G. (2000). Using time-dependent neural networks for EEG classification. IEEE Transactions on Rehabilitation Engineering, 8, 457-463.
4. Petrosian, A., Prokhorov, D., Homan, R., Dashei, R., & Wunsch, D. (2000). Recurrent neural network based prediction of epileptic seizures in intraand extracranial EEG. Neurocomputing, 30, 201-218.
5. Kalayci, T., & Ozdamar, O. (1995). Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE Engineering in Medicine and Biology Magazine, Mar/Apr, 160-166.
6. Kiymik, M. K., Akin, M., & Subasi, A. (2004). Automatic recognition of alertness level by using wavelet transform and artificial neural network. Journal of Neuroscience Methods, 139(2), 231-240.
7. R.G. Andrzejak, G.Widman, K. Lehnertz, C. Rieke, P. David, C.E. Elger, "The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy," Epilepsy Res. 44, 129-140, 2001
8. François Auger, Patrick Flandrin, Olivier Lemoine and Paulo Gonçalvès, (1998) Time-Frequency Toolbox for Matlab, http://crttsn.univ-nantes.fr/auger/tftb.html.
9. A. Subasi "Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients," Expert Systems with Applications, 28, 701-711, 2005.
10. N. Kannathala,b, M. L. Choob, U.R. Acharyab and P.K. Sadasivana "Entropies for detection of epilepsy in EEG" Computer Methods and Programs in Biomedicin. 2005 in press.
11. N.F. Guler, E.D Ubeylib and I. Guler "Recurrent neural networks employing Lyapunov exponents for EEG signals classification," Expert Systems with Applications 29 506-514, 2005
12. A. Subasi, and E. Erçelebi, "Classification of EEG signals using neural network and logistic regression," Computer Methods and Programs in Biomedicine, 78, 87-99, 2005.
13. Haykin, S. (1994). Neural networks: A comprehensive foundation. New York: Macmillan.