Sonified epileptic rhythms
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Author(s)
Baier, G.
Hermann, T.
Sahle, S.
Stephani, U.
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Abstract
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 auto- and 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.
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2006-06
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Proceedings