Temporal lobe seizure prediction based on a complex Gaussian wavelet

Clinical Neurophysiology

Volumn 122, Issue 4, 2011, Pages 656-663

  Wang, Lei ^a   Wang, Chao ^b   Fu, Feng ^a   Yu, Xiao ^a   Guo, Heng ^b   Xu, Canhua ^a   Jing, Xiaorong ^b   Zhang, Hua ^b   Dong, Xiuzhen ^a  

^a FOURTH MILITARY MEDICAL UNIVERSITY   (China)

^b FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Assessment; Complex Gaussian wavelet; Phase synchronisation; Seizure prediction; Seizure prediction characteristic; Temporal lobe seizure

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CLINICAL ASSESSMENT; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; HUMAN; INTRACTABLE EPILEPSY; KERNEL METHOD; POISSON DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY ANALYSIS; TEMPORAL LOBE EPILEPSY;

ADOLESCENT; ADULT; ALGORITHMS; ELECTROENCEPHALOGRAPHY; ELECTROENCEPHALOGRAPHY PHASE SYNCHRONIZATION; EPILEPSY, TEMPORAL LOBE; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MALE; MIDDLE AGED; NORMAL DISTRIBUTION; POISSON DISTRIBUTION; PREDICTIVE VALUE OF TESTS; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED; WAVELET ANALYSIS; YOUNG ADULT;

EID: 79952312448     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2010.09.018     Document Type: Article

References (34)

1. Abbate A., Koay J., Frankel J., Schroeder S.C., Das P. Application of wavelet transform signal processor to ultrasound. IEEE Ultrason Symp 1994, 1147-1152.
2. Barlow J.S. Methods of analysis of nonstationary EEGs with emphasis on segmentation techniques: a comparative review. J Clin Neurophysiol 1985, 2:267-304.
3. Blanco S., Garcia H., Quian Quiroga R., Romanelli L., Rosso O.A. Stationarity of the EEG series. IEEE Eng Med Biol 1995, 4:395-399.
4. Bower M.R., Buckmaster P.S. Changes in granule cell firing rates precede locally recorded spontaneous seizures by minutes in an animal model of temporal lobe epilepsy. J Neurophysiol 2008, 99(5):2431-2442.
5. De Clercq W., Lemmerling P., Van Huffel S., Van Paesschen W. Anticipation of epileptic seizure from standard EEG recordings. Lancet 2003, 361:917.
6. Geselowitz D.B. The zero of potential. IEEE Eng Med Biol Mag 1998, 17(1):128-132.
7. Harrison M.A., Osorio I., Frei M.G., Asuri S., Lai Y.C. Correlation dimension and integral do not predict epileptic seizure. Chaos 2005, 15:33106.
8. Hauser W.A., Beghi E. First seizure definitions and worldwide incidence and mortality. Epilepsia 2008, 49(Suppl 1):8-12.
9. Hoke M., Lehnertz K., Pantev C., Lütkenhöner B.L. Spatiotemporal aspects of synergetic processes in the auditory cortex as revealed by magnetoencephalogram. Dynamics of cognitive and sensory processing in the brain 1989, 84-108. Springer, Berlin. E. Basar, T.H. Bullock (Eds.).
10. Iasemidis L.D., Sackellares J.C., Zaveri H.P., Williams W.J. Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures. Brain Topogr 1990, 2:187-201.
11. Kiymik M.K., Güler I., Dizibüyük A., Akin M. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Comput Biol Med 2005, 35(7):603-616.
12. Kreuz T., Mormann F., Andrzejak R.G., Kraskov A., Lehnertz K., Grassberger P. Measuring synchronization in coupled model systems: a comparison of different approaches. Physica D 2007, 225:29-42.
13. Lai Y.C., Harrison M.A., Frei M.G., Osorio I. Controlled test for predictive power of Lyapunov exponents: their inability to predict epileptic seizures. Chaos 2004, 14:630-642.
14. Lange H.H., Lieb J.P., Engel J., Crandall P.H. Temporo-spatial patterns of preictal spike activity in human temporal lobe epilepsy. Electroencephalogr Clin Neurophysiol 1983, 56:543-555.
15. Lehnertz K., Litt B. The first international collaborative workshop on seizure prediction: summary and data description. Clin Neurophysiol 2005, 116(3):493-505.
16. LeVan P., Urrestarazu E., Gotman J. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. Clin Neurophysiol 2006, 117(4):912-927.
17. Le Van Quyen M., Martinerie J., Baulac M., Varela F. Anticipating epileptic seizure in real time by a nonlinear analysis of similarity between EEG recording. NeuroReport 1999, 10:2149-2155.
18. Le Van Quyen M., Foucher J., Lachaux J., Rodriguez E., Lutz A., Martinerie J., et al. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. J Neurosci Methods 2001, 111(2):83-98.
19. Litt B., Esteller R., Echauz J., D'Alessandro M., Shor R., Henry T., et al. Epileptic seizures may begin hours in advance of clinical onset: a report of five patients. Neuron 2001, 30:51-64.
20. Maiwald T., Winterhalder M., Aschenbrenner-Scheibe R., Voss H.U., Schulze-Bonhage A., Timmer J. Comparison of three nonlinear seizure prediction methods by means of seizure prediction characteristic. Physica D 2004, 194:357-368.
21. Misiti M., Misiti Y., Oppenheim G., Poggi J.M. Wavelet toolbox for use with Matlab, User's guide 2004, The Math-Works, American.
22. Mormann F., Lehnertz K., David P., Elger C.E. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Physica D 2000, 144:358-369.
23. Mormann F., Kreuz T., Andrzejak R.G., David P., Lehnertz K., Elger C.E. Epileptic seizures are preceded by a decrease in synchronization. Epilepsy Res 2003, 53:173-185.
24. Mormann F., Andrzejak R.G., Elger C.E., Lehnertz K. Seizure prediction: the long and winding road. Brain 2007, 130:314-333.
25. Navarro V., Martinerie J., Le Van Quyen M., Clemenceau S., Adam C., Baulac M., et al. Seizure anticipation in human neocortical partial epilepsy. Brain 2002, 125:640-655.
26. Niedermeyer E., Lopes da Silva F. Electroencephalography: basic principles, clinical applications, and related fields 2005, Lippincott/Williams & Wilkins, Philadelphia, PA. 5th ed.
27. Orekhova E.V., Wallin B.G., Hedström A. Modification of the average reference montage: dynamic average reference. J Clin Neurophysiol 2002, 19(3):209-218.
28. Osorio I., Frei M.G., Wilkinson S.B. Real-time automated detection and quantitative analysis of seizures and short-term prediction of clinical onset. Epilepsia 1998, 39:615-627.
29. Rosenblum M.G., Kurths J. Analysing synchronization phenomena from bivariate data by means of the Hilbert transform. Nonlinear analysis of physiological data 1998, 91-99. Springer, Berlin. H. Kantz, J. Kurths, G. Mayer-Kress (Eds.).
30. Roux S.G., Cenier T., Garcia S., Litaudon P., Buonviso N. A wavelet-based method for local phase extraction from a multi-frequency oscillatory signal. J Neurosci Methods 2007, 160(1):135-143.
31. Schelter B., Winterhalder M., Maiwald T., Brandt A., Schad A., Schulze-Bonhage A., et al. Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction. Chaos 2006, 16:013108.
32. Schindler K., Wiest R., Kollar M., Donati F. EEG analysis with simulated neuronal cell models helps to detect pre-seizure changes. Clin Neurophysiol 2002, 113:604-614.
33. Winterhalder M., Maiwald T., Voss H.U., Aschenbrenner-Scheibe R., Timmer J., Schulze-Bonhage A. The seizure prediction characteristic: a general framework to assess and compare seizure prediction methods. Epilepsy Behav 2003, 4:318-325.
34. Yang L, Judd MD, Bennoch CJ. Denoising UHF signal for PD detection in transformers based on wavelet technique. Annual Report Conference on Electrical Insulation and Dielectric Phenomena. Boulder, USA. 2004. pp. 166-9.