Computational Decision Support in Epilepsy Using Retrospective EEG

Inclusion Criteria: Subject was suspected of having had a seizure or epilepsy (fits, faints or funny turns), and as part of the diagnostic process one or more EEGs was recorded The subject ended up with a confirmed diagnosis of epilepsy or of the differential diagnosis such as syncope, or psychogenic seizures (diagnosis must have been at least 1 year ago, and not changed since) For each subject identified we would like to have all the available EEG files within the centre, with the following metadata: Primary meta-data (crucial): Age at the subject at time of each available EEG Treatment status at the time of each available EEG (including drug-load) Gender of the individual Ethnicity of the individual Confirmed diagnosis: details on the exact diagnosis made (syndrome and or condition) Secondary meta-data (optional): Aim of each available EEG at the time Information on whether any other conditions are present such as Alzheimer's disease, schizophrenia, Intellectual Disability If available: information on when the diagnosis was made If available: interpretation of each available EEG Specifics for the EEG recordings: Montage (10-20 preferred) Number of channels (minimum 19 channels) Referencing method (common average preferred) Format of the file (EDF preferred) Consistent channel labels for all EEGs provided from each centre Information concerning the time of day during the recording Information on the sampling frequency Faulty channels (not more than 2 preferred, all s…