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DETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIER
2014
Journal of Computer Science
Nowadays Epileptic disorder is a most challenge 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. We have been 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
doi:10.3844/jcssp.2014.66.72
fatcat:zziju5ahw5heflz3avamg3gvga