EEG signal analysis in frequency domains for healthy and epileptic patients

One of the most common abnormal electrical activities of the brain is epileptic seizures, which reflect the abnormal behavior of brain signals, which may occur in patients of all ages. in medical management system the Electroencephalograph (EEG) signals are essential way to monitor this abnormal behavior to detect the epileptic seizures in aim of acting proper reaction. Analysis EEG signal in accurate way is an important step for brain diseases detection that help in extract relevant features used to classify and detect these diseases. This research produced analysis study for EEG signal in both time and frequency domain where the frequency domain contains the most relevant discriminate features. Filtering technique is used to isolates four bands (beta, theta, alpha, and delta) from EEG channel. Database of healthy and epileptic patients has been processed in time and frequency domain. Then power spectrum density (PSD) is calculated as feature to distinguish between healthy and epileptic patients. The results show that PSD for the EEG of epileptic patients is higher than PSD of EEG of healthy person.