-This paper concentrates on Electroencephalography (EEG) signal processing with the emphasis on seizure detection. Manually by reviewing EEG recordings for detection of electrographical patterns is a time consuming business. Therefore, the ability to automate the classification of interesting electrographical patterns is a good supplement to the wide range of detection algorithms currently used for EEG analysis. Multi channel recordings of the electrographically patterns from neural currents in the brain would generate a large amounts of data. Suitable feature extraction methods are useful to facilitate the representation and interpretation of the data

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