EEG Signal-based Epileptic Seizure Detection

Epilepsy is a neurological condition marked by abnormal brain activity, which includes seizures. EEG data, which are recordings of brain activity, are frequently employed in a wide range of medical applications, including the identification of epileptic seizures. Neurologists used to draw conclusions by visual assessment. The findings, however, depended on the reader’s level of skill and were frequently quite time-consuming. Thus, automatic epileptic seizure detection methods that can deliver accurate outcomes quickly are needed. Hence, this paper differentiates the normal and epileptic EEG waveforms with frequency estimation technique. Consequently, the frequency information of the non-epileptic and epileptic EEG is discovered, and the waveforms between them are easily distinguished.