Classification of patterns of EEG synchronization for seizure prediction
暂无分享,去创建一个
[1] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[2] Yann LeCun,et al. Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation , 2007, AAAI.
[3] F. Mormann,et al. State-of-the-Art of Seizure Prediction , 2007, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[4] F. Mormann,et al. Seizure prediction: the long and winding road. , 2007, Brain : a journal of neurology.
[5] A. Schulze-Bonhage,et al. Do False Predictions of Seizures Depend on the State of Vigilance? A Report from Two Seizure‐Prediction Methods and Proposed Remedies , 2006, Epilepsia.
[6] A. Schulze-Bonhage,et al. Seizure anticipation by patients with focal and generalized epilepsy: A multicentre assessment of premonitory symptoms , 2006, Epilepsy Research.
[7] F. Mormann,et al. Seizure anticipation: from algorithms to clinical practice , 2006, Current opinion in neurology.
[8] Andreas Schulze-Bonhage,et al. Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction. , 2006, Chaos.
[9] Yann LeCun,et al. Off-Road Obstacle Avoidance through End-to-End Learning , 2005, NIPS.
[10] C. Stam,et al. Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.
[11] A. Kraskov,et al. On the predictability of epileptic seizures , 2005, Clinical Neurophysiology.
[12] J. Martinerie,et al. Preictal state identification by synchronization changes in long-term intracranial EEG recordings , 2005, Clinical Neurophysiology.
[13] K. Tsakalis,et al. Long-term prospective on-line real-time seizure prediction , 2005, Clinical Neurophysiology.
[14] S. Schiff,et al. Multivariate linear discrimination of seizures , 2005, Clinical Neurophysiology.
[15] I. Osorio,et al. Accumulated energy revisited , 2005, Clinical Neurophysiology.
[16] Piotr J. Franaszczuk,et al. Signal complexity and synchrony of epileptic seizures: is there an identifiable preictal period? , 2005, Clinical Neurophysiology.
[17] G. Vachtsevanos,et al. A multi-feature and multi-channel univariate selection process for seizure prediction , 2005, Clinical Neurophysiology.
[18] Brian Litt,et al. Continuous energy variation during the seizure cycle: towards an on-line accumulated energy , 2005, Clinical Neurophysiology.
[19] K. Lehnertz,et al. The First International Collaborative Workshop on Seizure Prediction: summary and data description , 2005, Clinical Neurophysiology.
[20] A. Schulze-Bonhage,et al. Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic , 2004 .
[21] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[22] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[23] I. Gath,et al. On the prediction of epileptic seizures , 1981, Biological Cybernetics.
[24] J. Martinerie,et al. Toward a Neurodynamical Understanding of Ictogenesis , 2003, Epilepsia.
[25] A. Schulze-Bonhage,et al. How well can epileptic seizures be predicted? An evaluation of a nonlinear method. , 2003, Brain : a journal of neurology.
[26] A. Schulze-Bonhage,et al. The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods , 2003, Epilepsy & Behavior.
[27] Brian Litt,et al. Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients , 2003, IEEE Transactions on Biomedical Engineering.
[28] Klaus Lehnertz,et al. Testing the null hypothesis of the nonexistence of a preseizure state. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[30] J. Martinerie,et al. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.
[31] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[32] Metin Akay,et al. Measurement and Quantification of Spatiotemporal Dynamics of Human Epileptic Seizures , 2000 .
[33] Donald C. Wunsch,et al. Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG , 2000, Neurocomputing.
[34] P. Grassberger,et al. A robust method for detecting interdependences: application to intracranially recorded EEG , 1999, chao-dyn/9907013.
[35] J. C. Sackellares,et al. Measurement and Quantification of Spatio-Temporal Dynamics of Human Epileptic Seizures , 1999 .
[36] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[37] P. Rajna,et al. Hungarian multicentre epidemiologic study of the warning and initial symptoms (prodrome, aura) of epileptic seizures , 1997, Seizure.
[38] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[39] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[40] F. Takens. Detecting strange attractors in turbulence , 1981 .
[41] a.R.V.,et al. Clinical neurophysiology , 1961, Neurology.