- Gerold Baier, Thomas Hermann, Sven Sahle, Ulrich Stephani (2006)
In Stockman, Tony (Ed.) Proceedings of the International Conference on Auditory Display (ICAD 2006), p. 148--151, International Community for Auditory Display (ICAD), Department of Computer Science, Queen Mary, University of London, London, U.K.
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Summary
We describe techniques to sonify rhythmic activity of epileptic seizures as measured by human EEG. Event-based 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.- Example S1: S1 (mp3, 384k)
Event-based sonification of time series from electrode F4 (left channel, fundamental frequency 100 Hz) and T4 (right channel, ff 150 Hz) during absence seizure. 6-fold reduction of speed compared to real-time. - Example S2: S2 (mp3, 412k)
Sonification as in S1, except speed is real-time. - Example S3: S3 (mp3, 372k)
Sonification as in S2 of another segment of EEG with absence seizure from the same patient. - Example S4: S4 (mp3, 300k)
Sonification as in S2, except that electrode T4 is replaced with F3 (contra-hemispheric to F4). - Example S5: S5 (mp3, 396k)
Sonification as in S2 with subclinical epileptiform activity from another patient. Electrodes used are C4 and T4.
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Thomas Hermann