International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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  Journal Paper

Paper Title
Detection Of Epileptic Seizure Using Discrete Wavelet Transform Of EEG Signal

Abstract
In this study, detection of epileptic seizure has been done using EEG. EEG signal has been decomposed using wavelet transform. After that, features of signal like entropy, variance, maximum value and minimum value of the signal have been calculated. These feature are given to kNN classifier for classification. The accuracy between ICTAL and normal EEG signal (open eye) has been calculated as 100 percent. Keywords- EEG, Epilepsy, Signal Classification, Wavelet Transforms


Author - Ajay Kumar, Lalit Mohan Saini

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| Published on 2015-05-18
   
   
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