Commenced in January 2007
Paper Count: 30075
EEG Waves Classifier using Wavelet Transform and Fourier Transform
Authors: Maan M. Shaker
Abstract:The electroencephalograph (EEG) signal is one of the most widely signal used in the bioinformatics field due to its rich information about human tasks. In this work EEG waves classification is achieved using the Discrete Wavelet Transform DWT with Fast Fourier Transform (FFT) by adopting the normalized EEG data. The DWT is used as a classifier of the EEG wave's frequencies, while FFT is implemented to visualize the EEG waves in multi-resolution of DWT. Several real EEG data sets (real EEG data for both normal and abnormal persons) have been tested and the results improve the validity of the proposed technique.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080370Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 5025
 J. Bhattacharya, & H. Petsche, "Universality in the brain while listening to music", Proc. Royal Society Lond. B., No. 268, pp (2423-2433), 2001.
 J.D. Bronzino, "Biomedical Engineering Handbook", Vol. I, 2nd ed., New York: CRC Press LLC, 2000.
 Webster, J. G., "Medical Instrumentation Application and Design", 2nd ed., New York: Wiley, 1995.
 M. Abeles, & Goldstein M., "Mutispike Train Analysis", Proc. IEEE, No. 65, pp (762-773), 1977.
 A. R.Sulaiman, "Joint Time-Frequency Analysis and Its Application for Non-Stationary Signals", Ph.D. Thesis, Elect. Eng. Dept., University of Mosul, 2001.
 A. M Khidhir, "Investigation of using Electroencephalography Signals in Man-Machine Communication System". Ph.D. Thesis. Elect. Eng. Dept., University of Mosul, 2000.
 S.G. Mallat, "A Theory for Multiresolution Signal Decomposition: The Wavelet Representation", IEEE Trans. On Pattern Analysis and Machine Intell., Vol. 2, No. 7, pp: (674-693), 1989.
 R. Quian Quiroga, Z. Nadasdy, & Y. Ben-Shaul, "Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering", Neural Computation, No. 16, pp (1661-1687), 2004.
 A. Graps, "Introduction to Wavelets", original paper published by the IEEE Computer Society (1995) Vol. 2 No. 2, 2003.
 M. Misiti, Y. Misiti, G. Oppenheim, & J. Poggi, "Wavelet Toolbox User-s Guide", Ver. 2.2, The MathWorks, Inc., 2002.
 M. Akin, O. Erogul, M. Bayram, N. Sezgin, "Determining of Doze Level Analyzing EEG Signals by Using Wavelet Transform and Neural Networks", International XII., TAINN, Vol. I, No. 1, 2003.
 "Statistical Toolbox User-s Guide", Ver. 2.2, The MathWorks, Inc., 2004.
 Mazin Z. Othman, Maan M. Shaker, "EEG Spikes Detection, Sorting, and Localization", (Periodical styleÔÇöAccepted for publication) IV Enformatika conference attended in 28 November 2005.