Examination of scale-invariant characteristics of epileptic electroencephalograms using wavelet-based analysis

Computers and Electrical Engineering

Volumn 40, Issue 5, 2014, Pages 1766-1773

  Janjarasjitt, S ^a,b   Loparo, K A ^b  

^a UBON RATCHATHANI UNIVERSITY   (Thailand)

^b Case Western Reserve University   (United States)

Author keywords

Electroencephalogram; Epilepsy; Seizure; Self similarity; Wavelet analysis

Indexed keywords

BIOELECTRIC PHENOMENA; FRACTALS; NEUROLOGY; WAVELET ANALYSIS;

COMPUTATIONAL RESULTS; EPILEPSY; EPILEPTIC SEIZURES; FRACTAL CHARACTERISTICS; PHYSIOLOGICAL SYSTEMS; SEIZURE; SELF-SIMILARITIES; WAVELET-BASED FRACTAL ANALYSIS;

ELECTROENCEPHALOGRAPHY;

EID: 84902356087     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2014.04.005     Document Type: Article

References (25)

1. A.L. Goldberger Complex systems Proc Am Thorac Soc 3 2006 467 472
2. Ieva AD, Grizzi F, Jelinek H, Pellionisz AJ, Losa GA. Fractals in the neurosciences, Part I: General principles and basic neurosciences. Neuroscientist. http://dx.doi.org/10.1177/1073858413513927.
3. Ieva AD, Esteban FJ, Grizzi F, Klonowski W, Martin-Landrove M. Fractals in the neurosciences, Part II: Clinical applications and future perspectives. Neuroscientist. http://dx.doi.org/10.1177/1073858413513928.
4. B.B. Mandelbrot The fractal geometry of nature 1982 WH Freeman San Francisco
5. G.W. Wornell Signal processing with fractals: a wavelet-based approach 1995 Prentice Hall New Jersey
6. L.F. Marton, S.T. Brassai, L. Bako, and L. Losonczi Detrended fluctuation analysis of EEG signals Proc Technol 12 2014 125 132
7. W. Klonowski Everything you wanted to ask about EEG but were afraid to get the right answer Nonlinear Biomed Phys 3 2009 2
8. Q. Yuan, W. Zhou, Y. Liu, and J. Wang Epileptic seizure detection with linear and nonlinear features Epilepsy Behav 24 2012 415 421
9. U.R. Acharya, S.V. Sree, A.P. Alvin, R. Yanti, and J.S. Suri Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals Int J Neural Syst 22 2012 1250002
10. L. Orosco, A.G. Correa, and E. Laciar Review: a survey of performance and techniques for automatic epilepsy detection J Med Biol Eng 33 2013 526 537
11. G.A. Losa, A.D. Ieva, F. Grizzi, and G.D. Vico On the fractal nature of nervous cell system Front Neuroanat 5 2011 45
12. G. Werner Fractals in the nervous system: conceptual implications for theoretical neurosciences Front Physiol 1 2010 15
13. G.W. Wornell Wavelet-based representations for the 1 / f family of fractal processes Proc IEEE 81 1993 1428 1450
14. G.W. Wornell, and A.V. Oppenheim Estimation of fractal signals from noisy measurements using wavelets IEEE Trans Signal Process 40 1992 611 623
15. Watters PA. Fractal structure in the electroencephalogram. Complexity International 5. http://www.complexity.org.au/ci/vol05/watters/watters.html.
16. H.E. Hurst Long-term storage capacity of reservoirs Trans Am Soc Civ Eng 56 1951 770 808
17. C.-K. Peng, S.V. Buldyrev, S. Havlin, M. Simons, H.E. Stanley, and A.L. Goldberger Mosaic organization of DNA nucleotides Phys Rev E 49 1994 1685 1689
18. B. Weiss, Z. Clemens, R. Bodizs, and P. Halasz Comparison of fractal and power spectral EEG features: effects of topography and sleep stages Brain Res Bull 84 2011 359 375
19. S. Mallat A wavelet tour of signal processing 1998 Academic Press San Diego
20. I. Daubechies Orthonormal bases of compactly supported wavelets Commun Pure Appl Math XLI 1988 909 996
21. S.G. Mallat A theory for multiresolution signal decomposition: the wavelet representation IEEE Trans Pattern Anal Mach Intell 11 1989 674 693
22. A. Cohen, and J. Kovacevic Wavelets: the mathematical background Proc IEEE 84 1996 514 522
23. fβ sequences synthesized by recursive filtering Comput Electr Eng 38 2012 282 293
24. R.G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David, and C.E. Elger Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state Phys Rev E 64 2001 1 8 (061907)
25. R. Weron Estimating long range dependence: finite sample properties and confidence intervals Physica A 312 2002 285 299