Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG

Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

Volumn , Issue , 2008, Pages 244-249

  Mirowski, Piotr W ^a   LeCun, Yann ^a   Madhavan, Deepak ^b   Kuzniecky, Ruben ^c  

^a NEW YORK UNIVERSITY   (United States)

^b UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

^c NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALARM SYSTEMS; BRAIN; CONVOLUTION; DIFFERENTIAL EQUATIONS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MILITARY OPERATIONS; ROBOT LEARNING; SIGNAL PROCESSING; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; TECHNICAL PRESENTATIONS;

BRAIN ACTIVITIES; CLINICAL APPLICATIONS; CONVOLUTIONAL NETWORKS; ELECTROENCEPHALOGRAPHIC RECORDINGS; EPILEPTIC SEIZURE PREDICTIONS; EPILEPTIC SEIZURES; FALSE ALARMS; FOCAL EPILEPSIES; IMPLANTABLE DEVICES; LOGISTIC REGRESSIONS; LYAPUNOV EXPONENTS; MODERN MACHINES; NEUROLOGICAL RESEARCHES; NONLINEAR INTERDEPENDENCES; POSSIBLE FUTURES; SEIZURE PREDICTIONS; STATISTICAL ANALYSIS METHODS; SUPPORT VECTORS;

ELECTROENCEPHALOGRAPHY;

EID: 58049188031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2008.4685487     Document Type: Conference Paper

References (28)

1. P. Kwan, M. J. Brodie, "Early Identification of Refractory Epilepsy", New England Journal of Medicine, n.342, 2000, pp.314-319.
2. A. Schulze-Bonhage, C. Kurth, A. Carius, B. J. Steinhoff, T. Mayer, "Seizure anticipation by patients with focal and generalized epilepsy: a multicentre assessment of premonitory symptoms", Epilepsy Research, n.70, 2006, pp.83-88.
3. P. Rajna, B. Clemens, E. Csibri, "Hungarian multicentre epidemiologic study of the warning and initial symptoms (prodrome, aura) of epileptic seizures", Seizure, n.6, 1997, pp.361-68.
4. K. Lehnertz, B. Litt, "The first international collaborative workshop on seizure prediction: summary and data description", Clinical Neurophysiology, n.116, 2005, pp.493-505.
5. M. Le Van Quyen, V. Navarro, J. Martinerie, M. Baulac, F. J. Varela, "Toward a Neurodynamical Understanding of Ictogenesis", Epilepsia, n.44, supp.12, 2003, pp.30-43.
6. F. Mormann, T. Kreuz, C. Rieke, R. G. Andrzejak, A. Kraskov, P. David, C. E. Elger, K. Lehnertz, "On the predictability of epileptic seizures", Clinical Neurophysiology, n.116, 2005, pp.569-587.
7. F. Mormann, C. E. Elger, K. Lehnertz, "Seizure anticipation: from algorithms to clinical practice", Current Opinion in Neurology n.19, 2006, pp.187-193.
8. K. Lehnertz, F. Mormann, H. Osterhage, A. Müller, J. Prusseit, et al, Journal of Clinical Neurophysiology, vol.24, n.2, April 2007.
9. R. G. Andrzejak, F. Mormann, T. Kreuz, C. Rieke, A. Kraskov, C. E. Elger, K. Lehnertz, "Testing the null hypothesis of the non-existence of the pre-seizure state", Physical Review E, 67, 2003.
10. K. K. Jerger, S. L. Weinstein, T. Sauer, S. J. Schiff, "Multivariate linear discrimination of seizures", Clinical Neurophysiology, n.116, 2005, pp.545-551.
11. M. D'Alessandro, R. Esteller, G. Vachtsevanos, A. Hinson, J. Echauz, et al, IEEE Transactions in Biomedical Engineering, vol.50, n.5, 2003, pp.603-615.
12. M. Le Van Quyen, J. Soss, V. Navarro, R. Robertson, M. Chavez, M. Baulac, J. Martinerie, "Preictal state identification by synchronization changes in long-term intracranial recordings", Clinical Neurophysiology, n.116, 2005, pp.559-568.
13. L. D. Iasemidis, D. S. Shiau, P. M. Pardalos, W. Chaovalitwongse, K. Narayanan, A. Prasad, K. Tsakalis, P. R. Carney, J. C. Sackellares, "Long-term prospective online real-time seizure prediction", Clinical Neurophysiology, n.116, 2005, pp.532-544.
14. EEG Database at the Epilepsy Center of the University Hospital of Freiburg, Germany, available: https://epilepsy.uni-freiburg.de/freiburg-seizure- prediction-project/eeg-database/
15. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, et al, "Do False Predictions of Seizures Depend on the State of Vigilance? A Report from Two Seizure-Prediction Methods and Proposed Remedies", Epilepsia, n.47, 2006, pp.2058-2070.
16. B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, et al, "Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction", Chaos, n.16: 013108, 2006.
17. T. Maiwald, M. Winterhalder, R. Aschenbrenner-Scheibe, H. U. Voss, A. Schulze-Bonhage et al, "Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic", Physica D, n.194, 2004, pp.357-368.
18. R. Aschenbrenner-Scheibe, T. Maiwald, M. Winterhalder, H. U. Voss, J. Timmer, et al, "How well can epileptic seizures be predicted? An evaluation of a nonlinear method", Brain, n.126, 2003, pp.2616-2626.
19. M. Winterhalder, T. Maiwald, H. U. Voss, R. Aschenbrenner-Scheibe, J. Timmer et al, "The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods", Epilepsy Behavior., vol.4 n.3, 2003, pp.318-325.
20. J. Arnhold, P. Grassberger, K. Lehnertz, C. E. Elger, "A robust method for detecting interdependence: applications to intracranially recorded EEG", Physica D, vol.134, 1999, pp.419-430.
21. M. Le Van Quyen, J. Foucher, J.-P. Lachaux, E. Rodriguez, A. Lutz, J. Martinerie, F. J. Varela, "Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony", Journal of Neuroscience Methods, n.11, 2001, pp.83-98.
22. L. Bottou, "Stochastic gradient learning in neural networks", Proceedings of Neuro-Nîes 91, EC2, Nîmes, France, 1991.
23. Y. Le Cun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-Based Learning Applied to Document Recognition", Proceedings of the IEEE, vol.86, n.11, 1998, pp.2278-2324.
24. P. W. Mirowski, D. Madhavan, Y. LeCun, "Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation", Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, AAAI Press 2007.
25. C. Cortes, V. Vapnik, "Support-Vector Networks", Machine Learning, vol.20, n.3, 1995, pp.273-297.
26. C.-C. Chang, C.-J. Lin, "LIBSVM: a library for support vector machines", 2001, available: http://www.csie.ntu.edu.tw/~cjlin/libsvm
27. Delorme A., Makeig S., "EEGLab: an open-source toolbox for analysis of single-trial EEG dynamics including ICA", Journal of Neuroscience Methods, vol.134, n.1, 2004, pp.9-21.
28. Bottou L., LeCun Y., 2002, "Lush : Lisp Universal Shell programming language", available: http://lush.sourceforge.net