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

Nowadays, Epileptic disorder is a most challenging aspects in brain activation. Electroencephalograph (EEG) 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. The researchers have proposed a procedure to find epilepsy disorder using discrete wavelet transform and neural network classifier. The EEG classification has also been done by back propagation algorithm in DWT. Through back propagation algorithm in wavelet transform, the EEG signal is divided into sub bands. They have used low pass and high pass filters to scale and wavelet transformation of signals in order to perform filtering operation. Then the seizure will determined from sub bands. This study also discusses epilepsy disorder detection technique using neural network classifier with great accuracy.