Neural networks with periodogram and autoregressive spectral analysis methods in detection of epileptic seizure

Journal of Medical Systems

Volumn 28, Issue 6, 2004, Pages 511-522

  Kiymik, M Kemal ^a   Subasi, Abdulhamit ^a   Ozcalik, H Riza ^a  

^a KAHRAMANMARAS SUTCU IMAM UNIVERSITY   (Turkey)

Author keywords

artificial neural networks (ANN); autoregressive method (AR); EEG; epileptic seizure; periodogram

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; ELECTRODE; ELECTROENCEPHALOGRAM; MORPHOLOGY; POSITIVE FEEDBACK; SEIZURE; SPECTROSCOPY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROENCEPHALOGRAPHY; EPILEPSY; FOURIER ANALYSIS; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; SEIZURES;

EID: 6344246400     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JOMS.0000044954.85566.a9     Document Type: Article

References (20)

1. Cohen, A., Biomedical signals: Origin and dynamic characteristics; frequency-domain analysis. In Bronzino, J. D. (eds.), The Biomedical Engineering Handbook, 2nd edn., CRC Press LLC, Boca Raton, 2000.
2. Roessgen, M., Zoubir, M., and Boashash, B., Seizure detection of newborn EEG using a model approach. IEEE Trans. Biomed. Eng. 45(6):673-685.1998.
3. Akin, M., and Kiymik, M. K., Application of periodogram and AR spectral analysis to EEG signals. J. Med. Syst. 24(4):247-256, 2000.
4. Proakis, J., and Manolakis, D., Digital Signal Processing Principles, Algorithms, and Applications, Prentice Hall, New Jersey, 1996.
5. Guler, I., Kiymik, M. K., Akin, M., and Alkan, A., AR spectral analysis of EEG signals by using maximum likelihood estimation. Comp Biol. Med. 31:441-447, 2001.
6. Isaksson, A., Wennberg, A., and Zetterberg, L. H., Computer analysis of EEG signals with 4 parametric models. Proc. IEEE. 69(4):451-461, 1981.
7. Weng, W., Khorasani, K., An adaptive structure neural network with application to EEG automatic seizure detection. Neural Networks, 9:1223-1240, 1996.
8. Gotman, J., Automatic recognition of epileptic seizures in the EEG. Electroencephalography and Clinical Neurophysiology, 54:530-540, 1982.
9. Petrosian, A., Prokhorov, D., Homan, R., Dashei, R., and Wunsch, D., Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. Neurocomputing 30:201-218, 2000.
10. Pradhan, N., Sadasivan, P. K., and Arunodaya, G. R., Detection of seizure activity in EEG by an artificial neural network: A preliminary study. Comp. Biomed. Res. 29:303-313, 1996.
11. Shimada, T., Shiina, T., and Saito, Y., Detection of characteristic waves of sleep EEG by neural network analysis. IEEE Trans. Biomed. Eng. 47:369-379, 2000.
12. Sun, M., and Sclabassi, R. J. The forward EEG solutions can be computed using artificial neural networks. IEEE Trans. Biomed. Eng. 47:1044-1050, 2000.
13. Tseng, S.-Y., Chen, R.-C., Chong, F.-C., and Kuo, T.-S., Evaluation of parametric methods in EEG signal analysis. Med. Eng. Phys. 17:71-78, 1995.
14. Wahlberg, P., and Lantz, L., Methods for robust clustering of epileptic EEG spikes. IEEE Trans. Biomed. Eng. 47:857-868, 2000.
15. Walczak, S., and Nowack, W. J., An artificial neural network approach to diagnosing epilepsy using lateralized bursts of theta EEGs. J. Med. Syst. 25:9-20, 2001.
16. Gotman, J., and Wang, L., State-dependent spike detection: Concepts and preliminary results. Electroencephal. Clin. Neurophysiol. 79:11-19, 1991.
17. Goto, S., Nakamura, M., and Uosaki, K., On-line spectral estimation of nonstationary time series based on AR model parameter estimation and order selection with a forgetting factor. IEEE Trans. Signal Process. 43:1519-1522, 1995.
18. Peters, B. O., Pfurtscheller, G., and Flyvbjerg, H., Mining multi-channel EEG for its information content: An ANN-based method for a brain-computer interface. Neural Netw. 11:1429-1433, 1998.
19. Anderson, C. W., Devulapalli, S. V., and Stolz, E. A., Neural Networks for Signal Processing, IEEE Service Center, Piscataway, NJ, pp. 475-483, 1995.
20. Hazarika, N., Chen, J. Z., Tsoi, A. C., and Sergejev, A., Classification of EEG signals using the wavelet transform. Signal Process. 59:61-72, 1997.