Can eeg processing reveal seizure prediction patterns?

Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Volumn , Issue , 2007, Pages 47-52

  Tito, Maria T ^a   Ayala, Melvin ^a   Yaylali, Ilker ^b   Cabrerizo, Mercedes ^a   Barreto, Armando ^a   Rishe, Naphtali ^a   Adjouadi, Malek ^a  

^a The Department of Electrical and Computer Engineering   (United States)

^b MIAMI CHILDREN'S HOSPITAL   (United States)

Author keywords

EEG; Epilepsy; Seizure prediction

Indexed keywords

COLOR IMAGE PROCESSING; ELECTROENCEPHALOGRAPHY; FORECASTING; VISUALIZATION;

CORRELATION INTEGRALS; EEG; EEG RECORDINGS; ELECTRICAL ACTIVITIES; EPILEPSY; EXHAUSTIVE ANALYSIS; PAPER PROCESSES; SCROLLING; SEIZURE PREDICTION; SEIZURE PREDICTIONS; TIME EVOLUTIONS;

BRAIN;

EID: 54949137284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Y. Lai, M.F. Harrison, M.G. Frei and I. Osorio, Inability of Lyapunov Exponents to predict epileptic seizures, Physical Review Letters, 91( 6), 2003.
2. L.D. Iasemidis, A. Barreto, R.L. Gilmore, B.M. Uthman, S.A. Roper and J.C. Sackellares, Spatiotemporal evolution of dynamical measures precedes onset of mesial temporal lobe seizures, Epilepsia, vol. 35 (Suppl 8), pp. 133, 1994.
3. G.W. Frank, T. Lookman, M.A.H. Nerenberg, C. Essex, J. Lemieux and W. Blume, Chaotic time series analyses of epileptic seizures , Physica D, 46, 1990,427-438.
4. A. Barreto, J. C. Principe and S. A. Reid, STL: A spatio-temporal characterization of focal interictal events, Brain Topography, vol. 5, No. 3, Human Sciences Press, New York, 1993, 215-228.
5. M.R. Guevara, Chaos in electrophysiology, concepts and techniques in bioelectric measurements: Is the medium carrying the Message? edited by LeBlanc, A-R, Billette, J., Editions de l'Ecole Polytechnique de Montreal, Montreal, 1997. pp. 67-87,
6. I. Yaylali, H. Kocak and P. Jayakar, Detection of seizures from small samples using Non-Linear Dynamic System Theory, P IEEE Trans. Biomed. Eng, 43 (7), 1996, 743-751.
7. A. Bezerianos, S. Tong and N. Thakor, Time-dependent Entropy Estimation of EEG rhythm changes following brain ischemia, Annals of Biomedical Engineering, 31, 2003, 221-232.
8. J. Martinerie, C. Adam and M. Le Van Ouyen, Epileptic seizures can be anticipated by Non-linear analysis, Nat. Med, 4, 1998, 1173-1176.
9. Software development at Center for Advanced Technology and Education. Available at: http://www.cate.fiu.edu/Software/index.htm
10. M. Cabrerizo, M. Adjouadi, M. Ayala, M. Tito, Pattern extraction in interictal EEG recordings towards detection of electrodes leading to seizures, Biomedical Sciences Instrumentation, 42 (ISA Vol. 464) 2006, 243-248.
11. J.C. Sackellares, P.M. Pardalos, L.D. Iasemidis, W. Chaovalitwongse, and D.S. Shiau, Optimization of spatiotemporal pattern processing for seizure warning and prediction, U.S. Patent application filed August 2004 (Attorney Docket No. 028724-150).
12. B. Hjorth,(1970), EEG analysis based on time series properties, Electroencephalography and Clinical Neurophysiology 29, 1970, 306-310.
13. R. C. Gonzalez, & R. E. Woods, Image transforms - digital image processing (Addison-Wesley Publishing Company, 1993).
14. W. J. Palm, Introduction to MATLAB 6 for engineers with 6.5 update with additional topics in animation, graphics, and Simulink (McGraw-Hill Science/Engineering/Math; 1 edition, October 24, 2003).