Channel-Consistent Forewarning of Epileptic Events from Scalp EEG

IEEE Transactions on Biomedical Engineering

Volumn 50, Issue 5, 2003, Pages 584-593

  Hively, Lee M ^a   Protopopescu, V A ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

Dynamical systems; epileptic seizure forewarning; nonlinear analysis; phase space dissimilarity measures

Indexed keywords

ADOLESCENT; ADULT; AMBULATORY MONITORING; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; CHILD; COMPARATIVE STUDY; ELECTROENCEPHALOGRAPHY; EPILEPSY; EVALUATION; FEMALE; FOURIER ANALYSIS; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PRESCHOOL CHILD; QUALITY CONTROL; REFERENCE VALUE; RETROSPECTIVE STUDY; SCALP; SEIZURE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICS; VALIDATION STUDY;

ADOLESCENT; ADULT; ARTIFACTS; CHILD; CHILD, PRESCHOOL; ELECTROENCEPHALOGRAPHY; EPILEPSY; FEMALE; FOURIER ANALYSIS; HUMANS; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MONITORING, AMBULATORY; NONLINEAR DYNAMICS; QUALITY CONTROL; REFERENCE VALUES; RETROSPECTIVE STUDIES; SCALP; SEIZURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 0037900842     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2003.810693     Document Type: Article

References (24)

1. B. Hjorth, “EEG analysis based on time series properties,” Electroencephal. Clin. Neurol., vol. 29, pp. 306-310, 1970.
2. J. P. Eckmann and D. Ruelle, “Ergodic theory of chaos and strange attractors,” Rev. Mod. Phys., vol. 57, pp. 617-655, 1985.
3. E. A. Jackson, Perspectives of Nonlinear Dynamics. Cambridge, U.K.: Cambridge Univ. Press., 1989, vol. 1.
4. H. D. I. Abarbanel, Analysis of Observed Chaotic Data. New York: Springer-Verlag, 1996.
5. H. Kantz and T. Schreiber, Nonlinear Time Series Analysis. Cambridge, U.K.: Cambridge Univ. Press, 1999.
6. S. H. Strogatz, Nonlinear Dynamics and Chaos. Reading, MA: Ad dison Wesley, 1994.
7. A. Babloyantz and A. Destexhe, “Low dimensional chaos in an instance of epilepsy,” Proc. Nat. Acad. Sci., vol. 83, pp. 3513-3517, 1986.
8. V. Gribkov and D. Gribkova D, “Learning dynamics from nonstationary time series: analysis of electroencephalograms,” Phys. Rev. E, vol. 61, pp. 6538-6545, 2000.
9. M. Le Van Quyen, J. Martinerie, V. Navarro, M. Baulac, and F. J. Varela, “Characterizing neurodynamic changes before seizures,” J. Clin. Neurophysiol., vol. 18, pp. 191-208, May 2001.
10. K. Lehnertz, R. G. Andrzejak, J. Arnhold, T. Kreuz, F. Mormann, C. Reike, G. Widman, and C. E. Elger, “Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention,” J. Clin. Neurophysiol., vol. 18, pp. 209-222, May 2001.
11. R. Savit, D. Li, W. Zhou, and I. Drury, “Understanding dynamical state changes in temporal lobe epilepsy,” J. Clin. Neurophysiol., vol. 18, pp. 246-258, May 2001.
12. K. K. Jerger, T. I. Netoff, J. T. Francis, T. Sauer, L. Pecora, S. L. Wein stein, and S. J. Schiff, “Early seizure detection,” J. Clin. Neurophysiol, vol. 18, pp. 259-268, May 2001.
13. I. Osorio, M. A. F. Harrison, Y.-C. Lai, and M. G. Frei, “Observations on the application of the correlation dimension and correlation integral to the prediction of seizures,” J. Clin. Neurophysiol., vol. 18, pp. 269-274, May 2001.
14. S. Sunderam, I. Osorio, M. G. Frei, and J. F. Watkins III, “Stochastic modeling and prediction of experimental seizures in sprague-dawley rats,” J. Clin. Neurophysiol., vol. 18, pp. 275-282, May 2001.
15. B. Litt, R. Esteller, J. Echauz, M. D'Alessandro, R. Shor, T. Henry, P. Pennell, C. Epstein, R. Bakay, M. Dichter, and G. Vachtsevanos, “Epileptic seizures may begin hours in advance of clinical onset: a report of five patients,” Neuron, vol. 30, pp. 51-64, Apr. 2001.
16. L. M. Hively, N. E. Clapp, C. S. Daw, and W. F. Lawkins, “Nonlinear Analysis of EEG for Epileptic Seizures,” Oak Ridge Nat. Lab., Oak Ridge, TN, ORNL/TM-12961, Apr. 1995.
17. P. C. Gailey, L. M. Hively, and V. A. Protopopescu, “Detection of con dition change in nonlinear times series using a connected-phase-space PDF,” presented at the Amer. Phys. Soc. Conf., Atlanta, GA, Mar. 1999, Paper LC32.06.
18. L. M. Hively, P. C. Gailey, and V. A. Protopopescu, “Sensitive measures of condition change in EEG data,” in Proc. Workshop Chaos in Brain?, Mar. 1999, pp. 333-336.
19. P. C. Gailey, L. M. Hively, and V. A. Protopopescu, “Robust detection of dynamical change in EEG,” presented at the 5th Experimental Chaos Conf., Orlando, FL, 1999.
20. L. M. Hively, P. C. Gailey, and V. A. Protopopescu, “Detecting dy namical change in nonlinear time series,” Phys. Lett. A, vol. 258, pp. 103-114, July 1999.
21. L. M. Hively, N. E. Clapp, V. A. Protopopescu, J. Joseph, C. E. Merican, and T. Lucht, “Epileptic Seizure Forewarning by Nonlinear Techniques,” Oak Ridge National Lab., Oak Ridge, TN, ORNL/TM-2000/333, Nov. 2000.
22. L. M. Hively, V. A. Protopopescu, and P. C. Gailey, “Timely detection of dynamical change in scalp EEG signals,” Chaos, vol. 10, pp. 864-875, Dec. 2000.
23. V. A. Protopopescu, L. M. Hively, and P. C. Gailey, “Epileptic seizure forewarning from scalp EEG,” J. Clin. Neurophysiol., vol. 18, pp. 223-245, May 2001.
24. M. L. Eisenstadt, Private communication.