Sonified Epileptic Rhythms

We describe techniques to sonify rhythmic activity of epileptic seizures as measured by human EEG. Eventbased mapping of parameters is found to be informative in terms of autoand cross-correlations of the multivariate data. For the study, a group of patients with childhood absence seizures are selected. We find consistent intra-patient conservation of the rhythmic pattern as well as inter-patient variations, especially in terms of cross-correlations. The sound synthesis is suitable for online sonification. Thus, the application of the proposed sonification in clinical monitoring is possible.