Sanei, 2007
Mesbah, 2004, EEG spike detection using time-frequency signal analysis
James, 2018, Detection of epileptiform discharges in the EEG by a hybrid system comprising mimetic, self-organized artificial neural network, and fuzzy logic stages, Clin. Neurophysiol., 110, 2049, 10.1016/S1388-2457(99)00168-6
Kannathal, 2019, Characterization of EEG comparative study, Comput. Methods Programs Biomed., 80, 17, 10.1016/j.cmpb.2005.06.005
James, 2007, Tracking and detection of epileptiform activity in multi-channel ictal EEG using signal subspace correlation of seizure source scalptopographies, Med. Biol. Eng. Comput., 45, 909, 10.1007/s11517-006-0103-8
Iscan, 2011, Classification of electroencephalogram signals with combined time and frequency features, Expert Syst. Appl., 38, 10499, 10.1016/j.eswa.2011.02.110
Kannathal, 2005, Entropies for detectionof epilepsy in EEG, Compute Methods Programs Biomed., 80, 187, 10.1016/j.cmpb.2005.06.012
Kiymik, 2004, Neural networks with periodogram and autoregressive spectral analysis methods in detection of epileptic seizure, J. Med. Syst., 28, 511, 10.1023/B:JOMS.0000044954.85566.a9
Liu, 2002, A multistage, multimethod approach for automatic detection and classification of epileptiform EEG, IEEE Trans. Biomed. Eng., 49, 1557, 10.1109/TBME.2002.805477
1975
Han, 2018, EEG Signal classification for epilepsy diagnosis based on AR Model and RVM, 134
Shen, 2010, Modeling and predication of EEG signal using support vector machine, IEEE Trans. Biomed. Eng., 57, 1124, 10.1109/TBME.2009.2038990
Chisci, 2010, Real time epileptic seizure predication using AR models and support vector machine, IEEE Trans. Biomed. Eng., 57, 1124, 10.1109/TBME.2009.2038990
McSharry, 2003, Prediction of epileptic seizures: are nonlinear methods relevant, Nat. Med., 9, 241, 10.1038/nm0303-241
Michel, 1999, Spatiotemporal dynamics of human cognition, News Physiol. Sci., 14, 206
Miwakeichi, 2004, Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis, PubMed J. NeuroImage, 1035, 10.1016/j.neuroimage.2004.03.039
Aarabi, 2006, Automated neonatal seizure detection: a multistage classification system through feature selection based on relevance and redundancy analysis, Clin. Neurophysiol., 117, 328, 10.1016/j.clinph.2005.10.006
Evans, 1983
Khawani, 1975, Identification of linear time invariant systems using exponential signals, IEEE Trans. Automatic Control, 146, 10.1109/TAC.1975.1100862
MIT-BIT datasets. www.physionet.com.
El-Hefnawi, 1996, Frequency perturbation for a circular array of coupled cylindrical dipole antennas, Microwave Optical Technol. Lett., 12, 36, 10.1002/(SICI)1098-2760(199605)12:1<36::AID-MOP11>3.0.CO;2-7
El-Hefnawi, F.M., Mossaly, F., 1996. Frequency Perturbation of Two Coupled Cylindrical Dipole Antennas and Arrays, MONTECH'86 Canada, 1996.
El-Hefnawi, 1996, A novel technique using frequency derivatives to construct frequency response of two coupled dipole antennas, Eng. Res., J. Helwan Univ.
El-Hefnawi, F.M., 1994. Frequency Perturbation for a Circular Array of Coupled Cylindrical Dipole Antennas, ACES conference, Montery, U.S.A.
El-Hefnawi, 1994
El-Hefnawi, 1975
El-Hefnawi, 1975
Bani-Hassan, 2009, Electrocardiogram signals identification for cardiac arrhythmias using prony's method and neural network
Marwa, H., El-Hefnawi F.M., 2015. Effect of Chest Wall on Breast Tumor Detection using Prony's Method, APS conference, USA.
Theodoridis, 2010, An Introduction to Pattern Recognition, Academic Press, 34
Elsayed, 2012, Modeling of epilepsy EEG signal using Prony’s method, Int. J. Simulation-Systems Sci. Technol., 13
Elsayed, 2015