DOIONLINE

DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-2179

Publish In
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI
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Volume Issue
Issue
Volume-3,Issue-1  ( May, 2015 )
Paper Title
Detection Of Epileptic Seizure Using Discrete Wavelet Transform Of EEG Signal
Author Name
Ajay Kumar, Lalit Mohan Saini
Affilition
School of Biomedical Engineering, National Institute of Technology, Kurukshetra, India-1361191,2 Electrical Engineering Department, National Institute of Technology, Kurukshetra, India-1361192
Pages
49-53
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
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