Vocal Sonification of Pathologic EEG Features

Authors: Thomas Hermann, Gerold Baier, Ulrich Stephani, Helge Ritter
Int. Conf. on Auditory Display (ICAD 2006), submitted

Abstract
We introduce a novel approach in EEG data sonification for process monitoring and exploratory as well as comparative data analysis. The approach uses an excitory/articulatory speech model and a particularly selected parameter mapping to obtain auditory gestalts (or auditory objects) that correspond to features in the multivariate signals. The sonification is adaptable to patient-specific data patterns, so that only characteristic deviations from background behavior (pathologic features) are involved in the sonification rendering. Thus the approach combines data mining techniques and case-dependent sonification design to give an application-specific solution with high potential for clinical use.
We explain the sonification technique in detail and present sound examples from clinical data sets.

Download:
HermannBaierStephaniRitter2006-VSO.pdf (available soon)

Sonification Examples

created 2006-02-07 Thomas Hermann