K. J. Staley and F. E. Dudek, Interictal Spikes and Epileptogenesis, Epilepsy Currents, vol.6, issue.6, pp.199-202, 2006.
DOI : 10.1111/j.1535-7511.2006.00145.x

A. J. Geerts, Detection of interictal epileptiform discharge in EEG, pp.2012-2038

C. J. James, Detection of epileptiform activity in the electroencephalogram using the electroencephalogram using 27 artificial neural networks, 1997.

A. T. Tzallas, M. G. Tsipouras, D. G. Tsalikakis, E. C. Karvounis, L. Astrakas et al., Automated Epileptic Seizure Detection Methods: A Review Study, Epilepsy -Histological

S. B. Wilson and R. Emerson, Spike detection: a review and comparison of algorithms, Clinical Neurophysiology, vol.113, issue.12
DOI : 10.1016/S1388-2457(02)00297-3

J. J. Halford, Computerized epileptiform transient detection in the scalp electroencephalogram: Obstacles to progress and the example of computerized ECG interpretation, Clinical Neurophysiology, vol.120, issue.11, pp.1909-1916, 1915.
DOI : 10.1016/j.clinph.2009.08.007

A. A. Dingle, R. D. Jones, G. J. Carroll, and W. R. Fright, A multistage system to detect epileptiform activity in the EEG, IEEE Transactions on Biomedical Engineering, vol.40, issue.12, pp.1260-1268, 1993.
DOI : 10.1109/10.250582

J. Gotman and L. Y. Wang, State-dependent spike detection: concepts and preliminary results, Electroencephalography and Clinical Neurophysiology, vol.79, issue.1
DOI : 10.1016/0013-4694(91)90151-S

H. Witte, M. Eiselt, I. Patakova, S. Petranek, G. Griessbach et al., Use of discrete Hilbert 15 transformation for automatic spike mapping: a methodological investigationWavelet analysis of EEG for 3 dimensional 18 mapping of epileptic eventsPattern recognition of epileptiform transients in the 20 electroencephalogram The Netherlands: Institute of Medical PhysicsA novel method for automated classification of epileptiform 22 activity in the human electroencephalogram based on independent component analysis, 14] A. J. Gabor, M. Seyal, "Automated interictal EEG spike detection using artificial neural networks, pp.11-19, 1980.

S. Cai, H. Yan, A. Zhang, S. Globerson, D. Roweis et al., Neighborhood preserving embedding 22 [26] I.T. Jolliffe. Principal Component AnalysisMetric Learning by Collapsing ClassesStochastic proximity embeddingDiffusion mapsAssessment of a computer program to detect epileptiform spikes, Proc. ICCV 2005 Adv. in Neural Inf. Proc. Sys. (NIPS), 2005. 24 [28], pp.1547-1553, 2002.

B. Ramabhadran, J. D. Frost-jr, J. R. Glover, and P. Y. Ktonas, detection and topographic classification in pediatric surface EEGsAn automated system for epileptogenic focus 6, NeuroReport, vol.833, issue.5, pp.2193-2197, 1997.

]. S. Wilson, C. A. Turner, R. G. Emerson, and M. L. Scheuer, localization in the electroencephalogramSpike detection, J Clin Neurophysiol Clin Neurophysiol, vol.16, issue.110, pp.59-68, 1999.

C. J. James, R. D. Jones, P. J. Bones, G. J. Carroll, T. Sugi et al., Detection of epileptiform discharges in the EEG by a hybrid 10 system comprising mimetic, self-organizing artificial neural network, and fuzzy logic statesAdaptive EEG spike detection: determination of threshold values 13 based on conditional probabilityAutomatic detection of epileptiform events in EEG by a 15 three-stage procedure based on artificial neural networks, SADE3: an effective system for automated detection of 17, pp.2049-2063, 1999.

]. H. Park, Y. H. Lee, N. G. Kim, D. S. Lee, and S. I. Kim, Detection of epileptiform activities in the EEG using 20 neural network and expert system, Detection of spikes with artificial neural networks using raw EEG, pp.459-70, 1998.

]. H. Res, R. D. Goelz, P. J. Jones, C. Bones, F. Kurth et al., Wavelet analysis of transient biomedical signals and its application to detection 24 of epileptiform activity in the EEGEEG spike detection with a Kohonen feature mapA multistage, multimethod approach for automatic detection and classification of 28 epileptiform EEGAutomatic detection of epileptiform activity by single-level wavelet analysis, Clin Electroencephalogr. Ann Biomed Eng IEEE Trans Biomed Eng, vol.3128, issue.49 1, pp.122-142, 1998.

T. P. Exarchos, A. T. Tzallas, D. I. Fotiadis, S. Konitsiotis, S. T. Giannopoulos49-]-a et al., EEG Transient Event Detection and Classification Using Association Rules, IEEE Transactions on Information Technology in Biomedicine, vol.10, issue.3, pp.451-457, 2006.
DOI : 10.1109/TITB.2006.872067