DETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIER

Nowadays Epileptic disorder is a most challenge asp ects in brain activation. Electroencephalograph (EE G) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilep sy disorder, using discrete wavelet transform and neur al network classifier. The EEG classification has a lso been done by back propagation algorithm in DWT. Through back propagation algorithm in wavelet transform the EEG signal divided into sub bands. We have used low pass and high pass filters to scale and wavelet transformation of signals in order to perfo rm filtering operation. Then the seizure will deter mined from sub bands. This study also discusses epilepsy disorder detection technique using neural network classifier with great accuracy.