Improved feature exctraction process to detect seizure using CHBMIT-dataset

One of the most dangerous neurological disease, which is occupying worldwide, epilepsy. Fraction second nerves in brain starts impulsion i.e. electrical discharge, higher than normal pulsing. So many researches have done investigation and proposed numerous methodology. However, our methodology will give effective result feature extraction. Moreover, we used number statistical moments features. Existing approaches are implemented on few with respect to time frequency. Our system way find out seizure-effected part very easily using TDS, FDS, Correlation Graph presentation. The resultant value huge difference between seizure effected brain. It also explore hidden features