Epileptic spike recognition in electroencephalogram using deterministic finite automata

Journal of Medical Systems

Volumn 33, Issue 3, 2009, Pages 173-179

  Kumar Keshri, Anup ^a   Kumar Sinha, Rakesh ^a   Hatwal, Rajesh ^a   Nand Das, Barda ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Automated system; Deterministic finite automata; Electroencephalogram; Epileptic spike

Indexed keywords

ARTICLE; AUTOANALYSIS; COMPUTER PROGRAM; DETERMINISTIC FINITE AUTOMATA; ELECTROENCEPHALOGRAPHY; EPILEPSY; INFORMATION PROCESSING; MEDICAL INFORMATION SYSTEM; SPIKE WAVE;

ANIMALS; BRAIN; ELECTROENCEPHALOGRAPHY; EPILEPSY; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; RATS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 63149180384     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9177-1     Document Type: Article

References (31)

1. R. Agarwal J. Gotman 2001 Computer-assisted sleep staging IEEE Trans BME. 48 1412 23
2. B. Litt J. Echauz 2002 Prediction of epileptic seizures Lancet Neurol. 1 22 30
3. N. Paivinen S. Lammi A. Pitkanen J. Nissinen M. Penttonen T. Gronfors 2005 Epileptic seizure detection: A nonlinear viewpoint Computer Methods and Programs in Biomedicine. 79 151 159
4. A. Liu J. S. Hahn G. P. Heldt R. W. Coen 1992 Detection of neonatal seizures through computerized EEF analysis Electroencephalogr. Clin. Neurophysiol. 82 30 37
5. J. Gotman D. Flanagah J. Zhang B. Rosenblatt 1997 Automatic seizure detection in the newborn: Methods and initial evaluation Electroencephalogr. Clin. Neurophysiol. 103 356 362
6. H. Adeli Z. Zhou N. Dadmehr 2003 Analysis of EEG records in an epileptic patient using wavelet transform J. Neurosci. Methods. 123 69 87
7. Y. U. Khan J. Gotman 2003 Wavelet based automatic seizure detection in intracerebral electroencephalogram Clin. Neurophysiol. 114 898 908
8. P. Zarjam M. Mesbah B. Boashash 2003 Detection of newborns EEG seizure using optimal features based on discrete wavelet transform Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing. 2 265 268
9. A. Subasi 2005 Epileptic seizure detection using dynamic wavelet network Expert Syst. Appl. 29 343 355
10. A. Subasi 2007 EEG signal classification using wavelet feature extraction and a mixture of expert model Expert Syst. Appl. 32 1084 1093
11. Ocak, H., Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. doi: 10.1016/j.eswa.2007.12.065. 2008.
12. W. R. S. Webber R. P. Lesser R. T. Richardson K. Wilson 1996 An approach to seizure detection using an artificial neural network (ANN) Electroencephalogr. Clin. Neurophysiol. 98 250 272
13. A. Petrosian D. Prokhorov R. Homan R. Dashei D. Wunsch 2000 Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG Neurocomputing. 30 201 218
14. R. K. Sinha 2002 Backpropagation artificial neural network to detect hyperthermic seizures in rats Online Journal of Health and Allied Sciences. 4 1
15. M. K. Kiymik M. Akin A. Subasi 2004 Automatic recognition of alertness level by using wavelets transform and artificial neural network J. Neurosci. Methods. 139 231 240
16. R. K. Sinha A. K. Ray N. K. Agrawal 2004 An artificial neural network to detect EEG seizures Neurol. India. 52 399 400
17. A. Subasi 2006 Automatic detection of epileptic seizure using dynamic fuzzy neural networks Expert Syst. Appl. 31 320 328
18. U. Hafner J. Albert S. Frank M. Unger 1998 Weighted Finite Automata for Video Compressing IEEE J. Sel. Areas Commun. 16 108 119
19. A. Yalcin T. O. Boucher 2000 Deadlock Avoidance in Flexible Manufacturing Systems Using Finite Automata IEEE Trans. Robot. Autom. 16 424 429
20. S. N. El-Din M. Moniri 2006 Image authentication using generalized finite automata IEE Proc. - Vis. Image Signal Process. 153 493 500
21. Yeol, J. W., Barjis, I. Y., and Ryu, S., Modeling of System Biology from DNA to by Automata Networks. Proceedings of ICISIP. 523-528, 2005.
22. R. K. Sinha 2004 Electroencephalogram disturbances in different sleep-wake states following exposure to high environmental heat Med. Biol. Eng. Comput (IEE). 42 282 287
23. S. N. Sarbadhikari 1995 A Neural network confirms that physical exercise reverses EEG changes in depressed rats Med. Eng. Phy. 17 579 582
24. R. K. Sinha 2003 Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress Med. Biol. Eng. Comput (IEE). 41 595 600
25. Hopcroft, J. E., and Ullman, J. D., Introduction to Automata Theory, Languages and Computation. Addison-Wesley Publishing Company USA, 1979.
26. Pappadimitriau, C. H., and Lewis, H. R., Elements of the Theory of Computation, 2nd Edn. Pearson Education India, 2001.
27. Mishra, K. L. P., and Chandrasekaran, N., Theory of Computer Science Automata, Languages and Computation, 3rd edition. Prentice-Hall of India, New Delhi, 2007.
28. J. Gotman J. R. Ives P. Gloor 1985 Long-term Monitoring in Epilepsy Electroenceph. Clin. Neurophysiology, Suppl., Elsevier, Amsterdam. 37 133 145
29. J. Gotman 1990 Automatic seizure detection: improvements and evaluations Electroenceph. Clin. Neurophysiology. 76 317 324
30. Mirbagheri, M. M., Badie, K., Golpayegani, R. M. H., and Ahmadi, M. A., A neural Network approach to EEG classification for the purpose pf different diagnosis between epilepsy and normal EEG. In: Proc. 14th Annual International Conference IEEE Engineering in Medicine and Biology Society, IEEE, New York. 2649-2650, 1992.
31. G. Jando R. M. Siegel Z. Horwath G. Buzsaki 1993 Pattern recognition of the electroencephalogram by artificial neural networks Electroencephalogr. Clin. Neurophysiol. 86 100 109