EEG Waves Classifier using Wavelet Transform and Fourier Transform

@inproceedings{Shaker2012EEGWC,
  title={EEG Waves Classifier using Wavelet Transform and Fourier Transform},
  author={Maan M. Shaker},
  year={2012}
}
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… CONTINUE READING
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