Epileptic seizures are one of the most serious neurological disorders, and their early detection will allow physicians to offer patients with proper therapy. Electroencephalogram (EEG) signals are commonly used to identify epileptic seizures, which provides doctors with valuable information regarding brain activity.
In this project, I used the Bonn dataset. This dataset was collected at the University of Bonn by a team of researchers, and it had been extensively utilized for epileptic seizure analysis and detection studies.
This code is consisted of:
Preprocessing and Band Extraction
Feature Extraction
Feature Extraction(Mean PSD-Median PSD-Frequency Ratio-Waveform Length)
Artificial Neural network
SVM with k fold cross validation