Performance Analysis of Patient Specific Elman-Chaotic Optimization Model for Fuzzy Based Epilepsy Risk Level Classification from Eeg Signals

[1]Leon D.Iasemidis etal., Adaptive Epileptic Seizure Prediction System, IEEE Transactions on Biomedical Engineering, May 2003,50(5): 616-627.10.1109/TBME.2003.81068912769437Search in Google Scholar

[2]K P Adlassnig, Fuzzy Set Theory in Medical diagnosis, IEEE Transactions on Systems Man Cybernetics, March 1986,16: 260-265.10.1109/TSMC.1986.4308946Search in Google Scholar

[3]Alison A Dingle et al, A Multistage system to Detect epileptic form activity in the EEG,IEEE Transactions on Biomedical Engineering,1993, 40(12):1260-1268.10.1109/10.2505828125502Search in Google Scholar

[4]Hauquo and Jean Gotman, A patient specific algorithm for detection onset in long-term EEG monitoring possible use as warning device, IEEE Transactions on Biomedical Engineering, February 1997, 44(2): 115-122.10.1109/10.5522419214791Search in Google Scholar

[5]Arthur C Gayton, Text Book of Medical Physiology, Prism Books Pvt. Ltd., Bangalore, 9th Edition, 1996.Search in Google Scholar

[6]J.Seunghan Park et al, TDAT Domain Analysis Tool for EEG Analysis, IEEE Transactions on Biomedical Engineering, August 1990,37(8): 803-811.10.1109/10.1027962210789Search in Google Scholar

[7]Donna L Hudson, Fuzzy logic in Medical Expert Systems, IEEE EMB Magazine, November/December 1994,13(6): 693-698.10.1109/51.334631Search in Google Scholar

[8]C B Gupta and Vijay Gupta, An Introduction to Statistical Methods, 22nd Ed., Vikas Publishing House Lt., 2001.Search in Google Scholar

[9]R.Harikumar and B.Sabarish Narayanan, Fuzzy Techniques for Classification of Epilepsy risk level from EEG Signals, Proceedings of IEEE Tencon – 2003, 14-17 October 2003,Bangalore, India, 209-213.Search in Google Scholar

[10]Mark van Gils, Signal processing in prolonged EEG recordings during intensive care, IEEE EMB Magazine November/December 1997,16 (6): 56-63.10.1109/51.6371189399087Search in Google Scholar

[11]R.Harikumar, Dr.(Mrs). R.Sukanesh, P.A. Bharthi, Genetic Algorithm Optimization of Fuzzy outputs for Classification of Epilepsy Risk Levels from EEG signals,I.E . India Journal of Interdisciplinary panels, May 2005, 86(1):9-17.Search in Google Scholar

[12]Celement.C etal, A Comparison of Algorithms for Detection of Spikes in the Electroencephalogram, IEEE Transaction on Bio Medical Engineering, April 2003, 50 (4): 521-26.10.1109/TBME.2003.80947912723065Search in Google Scholar

[13]Pamela McCauley-Bell and Adedeji B.Badiru, Fuzzy Modeling and Analytic Hierarchy Processing to Quantify Risk levels Associated with Occupational Injuries- Part I: The Development of Fuzzy- Linguistic Risk Levels, IEEE Transactions on Fuzzy Systems, 1996,4 ( 2): 124-31.10.1109/91.493906Search in Google Scholar

[14]Joel.J etal, Detection of seizure precursors from depth EEG using a sign periodogram transform, IEEE Transactions on Bio Medical Engineering, April 2004,51 (4):449-458.10.1109/TBME.2003.80949712723056Search in Google Scholar

[15]S.Vitabile etal.,Daily peak temperature forecasting with Elman neural networks, Proceedings of IEEE 2004, 2765-2769.Search in Google Scholar

[16]Nurettin Acir etal., Automatic detection of epileptiform events in EEG by a three-stage procedure based artificial neural networks, IEEE transactions on Bio Medical Engineering January 2005,52(1):30-40.10.1109/TBME.2004.839630Search in Google Scholar

[17]Drazen.S.etal., Estimation of difficult –to- Measure process variables using neural networks, Proceedings of IEEE MELECON 2004,May 12-15, 2004, Dubrovnik,Croatia, 387-390.Search in Google Scholar

[18]Moreno.L.etal., Brain maturation estimation using neural classifier, IEEE Transaction of Bio Medical Engineering , April 1995,42(2):428-432.10.1109/10.376139Search in Google Scholar

[19]Tarassenko.L,Y.U.Khan,M.R.G.Holt,Identification of inter-ictal spikes in the EEG using neural network analysis, IEE Proceedings –Science Measurement Technology, November 1998,145(6):270-278.10.1049/ip-smt:19982328Search in Google Scholar

[20]Hwang et al., Recognition of Unconstrained Handwritten Numerals by A Radial Basis Function Network Classifier, Pattern Recognition Letters, 1997,18:657-664.10.1016/S0167-8655(97)00056-1Search in Google Scholar

[21]H.Demuth and M..Beale, Neural network tool box: User’s guide, Version 3.0 the math works, Inc., Natick, MA, 1998.Search in Google Scholar

[22]G.Fung etal, Fault Detection In Inkjet Printers Using Neural Networks, Proceedings of IEEE SMC, 2002.Search in Google Scholar

[23]Guoqiang Peter Zhang , Neural Networks for Classification: A Survey ,IEEE Transactions on Systems Man Cybernetics- Part C: Applications and Reviews, November 2000,30(4): 451462.10.1109/5326.897072Search in Google Scholar

[24]Jonathan lee etal., A Neural Network Approach to Cloud Classification, IEEE Transactions on Geosciences and Remote Sensing, September 1990,28 (5): 846-855.10.1109/36.58972Search in Google Scholar

[25]S.Haykin, Neural networks a Comprehensive Foundation, Prentice- Hall Inc. 2^nd Ed. 1999.Search in Google Scholar

[26]Mu-chun Su, Chien –Hsing Chou, A modified version of the k-means clustering algorithm with a distance based on cluster symmetry, IEEE Transactions on Pattern Analysis and Machine Intelligence June 2001, 23 (6): 674-680.10.1109/34.927466Search in Google Scholar

[27]Masaaki Tsujitani, Takashi Koshimizu, Neural Discriminant Analysis, IEEE Transactions on Neural Networks, November 2000,11 (6):1394-1401.10.1109/72.88346018249863Search in Google Scholar

[28]Rangaraj M. Rangayyan, Bio- Medical Signal Analysis A Case Study Approach, IEEE Press-John Wiley &sons Inc New York 2002.Search in Google Scholar

[29]Yuan-chu Cheng, Wei-Min Qi,WeiYou Cai, Dynamic Properties of Elman And Modified Elman Neural Network,Proceedings of IEEE, First International Conference on Machine Learning And Cybernatics, Beijing, 2002,637-640.Search in Google Scholar

[30]K.Sriramamurty and B.Yegnannarayana, Combining Evidence from Residual Phase and MFCC Features for Speaker Recognition, IEEE Signal Processing Letters, January 2006,13 (1): 52-55.10.1109/LSP.2005.860538Search in Google Scholar

[31]M.E. Cohen, Donna.L Hudson, and Prakash.C.D, applying continuous Chaotic modeling to cardiac signal analysis, IEEE EMBS Magazine, September 1996 vol,15, (5),pp 97-102.10.1109/51.537065Search in Google Scholar

[32]Albano.A.M., Muench.J., Schwartz. C, Mees.A.I. and Rapp.P.E, (1988) ‘Singularvalue decomposition and the Grassberger-Procaccia algorithm’Physical Review A,pp.3017-3026.10.1103/PhysRevA.38.3017Search in Google Scholar

[33]Broomhead. D.S. and King .G.P, (1986) ‘Extracting qualitative dynamics from experimental data’ Physical Review D, pp.217-236.Search in Google Scholar

[34]Farmer. J.D., Ott.E., Yorke. J.A. (1983) , ‘The dimension of chaotic attractors’ Physical Review D, pp.153-180Search in Google Scholar

[35]Ivan Dvorak and Jarorair Siska, (1986), ‘On some problems encountered in calculating the correlation dimension of EEG’, International centre for Theoretical physics. International atomic energy agency, United Nations educational, scientific and cultural organization.10.1016/0375-9601(86)90648-1Search in Google Scholar

[36]M.E. Cohen, Donna.L Hudson, Inclusion of ECG and EEG Analysis in Neural Network Models, Proceedings of International Conference of the 23^rd Annual IEEE EMBS October 25-28, 2001, Istanbul Turkey, pp 1621-1624.Search in Google Scholar

[37]N.C. Bhavaraju, Mark.G.Frei and Ivan Osorio,Analog seizure Detection and Performance Evaluation, IEEE Transactions on BME Vol 53, (2), February 2006, pp 238-245.10.1109/TBME.2005.86253216485752Search in Google Scholar