Analysing the spectral properties of EEG ictal events with time-frequency transform

Analysis of EEG events, as e.g. the epileptic seizures, is a challenge for a lot of research that has been carried out during the last five years. New methods are required to better analyse the epileptic transients occurring during seizures. This paper discusses a model for features extraction from EEG signal to determine a specific signature of the seizure (inter-ictal) and to detect it using an artificial neural network, or just to provide a better representation of the frequency changes to the clinician.