Detection Of Epileptic Seizure Using Discrete Wavelet Transform Of EEG Signal
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