title: Analysing the spectral properties of EEG ictal events with time-frequency transform.
abstract: 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.
authors.affiliation: Politehnica University of Bucharest, Bd. Iuliu Maniu 1-3, Bucharest, Romania.
authors.forename: C
authors.initials: C
authors.lastname: Bigan
authors.forename: R
authors.initials: R
authors.lastname: Strungaru
mesh_terms: D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology; D005071:Evoked Potentials / Q000502:physiology; D005583:Fourier Analysis; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted