Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic

Osama A. Elsayed1, Abdallah Hammad2,3, Eman A. Abdel-Ghaffar2
1NARSS, EGSA, Egypt
2Faculty of Engineering Shoubra, Benha University, Egypt
3Electrical Engineering Department at College of Engineering, Bisha University, Saudi Arabia

Tài liệu tham khảo

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