A CNN-based synchronization analysis for epileptic seizure prediction: Inter- and intraindividual generalization properties

Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Volumn , Issue , 2008, Pages 92-95

  Krug, Dieter ^a   Elger, Christian E ^a   Lehnertz, Klaus ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA RECORDING; ELECTROENCEPHALOGRAPHY; FORECASTING; NANOSTRUCTURED MATERIALS; NANOTECHNOLOGY; NEURAL NETWORKS; SYNCHRONIZATION;

BRAIN REGIONS; EEG DATA; EEG RECORDINGS; EPILEPTIC SEIZURE PREDICTION; GENERALIZATION CAPABILITIES; GENERALIZATION PROPERTIES; GENERALIZED SYNCHRONIZATION; HIGH-ACCURACY; LONG-LASTING; MULTICHANNEL EEG; NANO SCALING; SEIZURE PREDICTION;

CELLULAR NEURAL NETWORKS;

EID: 51949089726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNNA.2008.4588656     Document Type: Conference Paper

References (27)

1. A. S. Pikovsky, M. G. Rosenblum, and J. Kurths, Synchronization - A universal concept in nonlinear sciences. Cambridge, UK: Cambridge University Press, 2001.
2. S. Boccaletti, J. Kurths, G. Osipov, D. L. Valladare, and C. S. Zhou, "The synchronization of chaotic systems," Phys. Rep., vol. 366, pp. 1-101, 2002.
3. H. Fujisaka and T. Yamada, "Stability theory of synchronized motion in coupled dynamical systems," Prog. Theor. Phys., vol. 69, pp. 32-47, 1983.
4. V. S. Afraimovich, N. N. Verichev, and M. I. Ravinovich, "General synchronization," Izv. VUZ. Radiophiz., vol. 29, p. 795, 1986.
5. H. D. I. Abarbanel, N. Rulkov, and M. Sushchik, "Generalized synchronization of chaos: The auxiliary system approach," Phys. Rev. E, vol. 53, pp. 4528-4535, May 1996.
6. F. Takens, "Detecting strange attractors in turbulence," in Dynamical Systems and Turbulence, ser. Lecture Notes in Mathematics, D. A. Rand and L. S. Young, Eds. Berlin: Springer-Verlag, 1980, vol. 898, pp. 366-381.
7. J. Arnhold, P. Grassberger, K. Lehnertz, and C. E. Elger, "A robust method for detecting interdependences: application to intracranially recorded EEG," Physica D, vol. 134, pp. 419-430, 1999.
8. C. E. Elger, F. Mormann, T. Kreuz, R. G. Andrzejak, C. Rieke, R. Sowa, S. Florin, P. David, and K. Lehnertz, "Characterizing the spatio-temporal dynamics of the epileptogenic process with nonlinear EEG analysis," in Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, R. Tetzlaff, Ed. Singapore: World Scientific, 2002, pp. 228-242.
9. F. Mormann, C. E. Elger, and K. Lehnertz, "Seizure anticipation: from algorithms to clinical practice," Curr. Opin. Neurol., vol. 19, pp. 187-193, 2006.
10. F. Mormann, R. G.Andrzejak, C. E. Elger, and K. Lehnertz, "Seizure prediction: the long and winding road," Brain, vol. 130, pp. 314-333, 2007.
11. K. Lehnertz, F. Mormann, H. Osterhage, A. Müller, A. Chernihovskyi, M. Staniek, J. Prusseit, D. Krug, S. Bialonski, and C. E. Elger, "State-of-the-art of seizure prediction," J. Clin. Neurophysiol., vol. 24, p. 147, 2007.
12. K. Lehnertz, M. Le Van Quyen, and B. Litt, "Seizure prediction," in Epilepsy: A Comprehensive Textbook, 2nd ed., J. J. Engel and T. A. Pedley, Eds. Philadelphia: Lippincott, Williams & Wilkins, 2007, p. 1011.
13. F. Mormann, T. Kreuz, C. Rieke, R. G. Andrzejak, A. Kraskov, P. David, C. E. Elger, and K. Lehnertz, "On the predictability of epileptic seizures," Clin. Neurophysiol., vol. 116, pp. 569-587, 2005.
14. M. Le Van Quyen, J. Soss, V. Navarro, R. Robertson, M. Chavez, M. Baulac, and J. Martinerie, "Preictal state identification by synchronization changes in long-term intracranial EEG recordings," Clin. Neurophysiol., vol. 116, pp. 559-568, 2005.
15. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, A. Schulze-Bonhage, and J. Timmer, "Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction," Chaos, vol. 16, p. 013108, 2006.
16. H. Osterhage, F. Mormann, M. Staniek, and K. Lehnertz, "Measuring synchronization in the epileptic brain: a comparison of different approaches," Int. J. Bifurcation Chaos, vol. 17, pp. 3539-3544, 2007.
17. R. Sowa, F. Mormann, A. Chernihovskyi, S. Florin, C. Elger, and K. Lehnertz, "Estimating synchronization in brain electrical activity from epilepsy patients with cellular neuronal networks," in Proc. 8th IEEE International Workshop on Cellular Neural Networks and their Applications, T. Roska, M. Gilli, B. Shi, and A. Zarandy, Eds. Budapest: Amulett'98 Kft., 2004, pp. 327-332.
18. R. Sowa, A. Chernihovskyi, F. Mormann, and K. Lehnertz, "Estimating phase synchronization in dynamical systems using cellular nonlinear networks," Phys. Rev. E, vol. 71, p. 061926, 2005.
19. D. Krug, H. Osterhage, C. E. Elger, and K. Lehnertz, "Estimating generalized synchronization in brain electrical activity from epilepsy patients with cellular nonlinear networks," in Proc. 10th IEEE International Workshop on Cellular Neural Networks and their Applications, V. Tavsanoglu and S. Arik, Eds. Piscataway, NJ: IEEE Press, 2006, pp. 68-72.
20. _, "Estimating nonlinear interdependences in dynamical systems using cellular nonlinear networks," Phys. Rev. E, vol. 76, p. 041916, 2007.
21. R. Quian Quiroga, A. Kraskov, T. Kreuz, and P. Grassberger, "Performance of different synchronization measures in real data: A case study on electroencephalographic signals," Phys. Rev. E, vol. 65, p. 041903, 2002.
22. R. Kunz, R. Tetzlaff, and D. Wolf, "Brain electrical activity in epilepsy: Characterization of the spatio-temporal dynamics with cellular neural networks based on a correlation dimension analysis," in Proceedings of the IEEE International Symposium on Circuits and Systems, J. Vandevalle and M. Hassler, Eds. Piscataway, NJ: IEEE Press, 2000, pp. 1024-1027.
23. A. Müller, H. Osterhage, R. Sowa, R. G. Andrzejak, F. Mormann, and K. Lehnertz, "A distributed computing system for multivariate time series analyses of multichannel neurophysiological data," J. Neurosci. Meth., vol. 152, pp. 190-201, 2006.
24. J. H. Holland, Adaptation in natural and artificial systems. Ann Arbor, USA: The University of Michigan Press, 1975.
25. T. Kozek, T. Roska, and L. O. Chua, "Genetic algorithm for CNN template learning," IEEE Trans. Circ. Syst., vol. 40, pp. 392-402, 1993.
26. R. Kunz and R. Tetzlaff, in Proceedings of the 6th IEEE International Workshop on Cellular Neural Networks and Their Applications, L. Fortuna, Ed. Piscataway, NJ: IEEE Press, 2000, pp. 241-246.
27. T. Schreiber and A. Schmitz, "Surrogate time series," Physica D, vol. 142, p. 346, 2000