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
- Example S1: Patient 1, transition to epileptic activity, dt = 0.005
S1 (mp3, 184k)
- Example S2: Patient 1, transition to epileptic activity, dt = 0.010
S2 (mp3, 356k)
- Example S3: Patient 1, transition to epileptic activity, dt = 0.020
S3 (mp3, 668k)
- Example S4: Patient 2, transition to epileptic activity, dt = 0.005
S4 (mp3, 404k)
- Example S5: Patient 2, transition to epileptic activity, dt = 0.010
S5 (mp3, 820k)
- Example S6: Patient 2, transition to epileptic activity, dt = 0.029
S6 (mp3, 2.2M)
- Example S7: Patient 2, spike series in detail, dt=0.059
S7 (mp3, 572k)
- Example S8: Patient 3, as reference, dt=0.005
S8 (mp3, 308k)
- Example S9: Patient 3, as reference, dt=0.010
S9 (mp3, 624k)
created 2006-02-07 Thomas Hermann