Increasing accuracy of the epilepsy signal classification

Epilepsy is a condition that can cause person to experience seizures repeatedly. attack someone when there damage or changes in the brain. This study researchers tried use sampling techniques as feature of extracting epilepsy signal features and K-NN method identify patterns. The data this took from University Bonn's Epileptologie clinic which consisted set A, open eye normal signal, B closed C zone, D enter epilepsy, E seizure epilepsy. In study, classify for people E, who have Data A consists 100 EEG signals data. used are training process much 50 trial many classification results reach 100% accuracy. uses value K = 1 9.