Supplementary Material for "Vocal Sonification of Pathologic EEG Features"

Hermann T, Baier G, Stephani U, Ritter H (2006)
Bielefeld University.

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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.
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This Supplementary Material for "Vocal Sonification of Pathologic EEG Features" is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
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Hermann T, Baier G, Stephani U, Ritter H. Supplementary Material for "Vocal Sonification of Pathologic EEG Features". Bielefeld University; 2006.
Hermann, T., Baier, G., Stephani, U., & Ritter, H. (2006). Supplementary Material for "Vocal Sonification of Pathologic EEG Features". Bielefeld University.
Hermann, T., Baier, G., Stephani, U., and Ritter, H. (2006). Supplementary Material for "Vocal Sonification of Pathologic EEG Features". Bielefeld University.
Hermann, T., et al., 2006. Supplementary Material for "Vocal Sonification of Pathologic EEG Features", Bielefeld University.
T. Hermann, et al., Supplementary Material for "Vocal Sonification of Pathologic EEG Features", Bielefeld University, 2006.
Hermann, T., Baier, G., Stephani, U., Ritter, H.: Supplementary Material for "Vocal Sonification of Pathologic EEG Features". Bielefeld University (2006).
Hermann, Thomas, Baier, Gerold, Stephani, Ulrich, and Ritter, Helge. Supplementary Material for "Vocal Sonification of Pathologic EEG Features". Bielefeld University, 2006.
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File Title
Sonification Example S1
Description
Patient 1, transition to epileptic activity, dt = 0.005
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OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S2
Description
Patient 1, transition to epileptic activity, dt = 0.010
Access Level
OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S3
Description
Patient 1, transition to epileptic activity, dt = 0.020
Access Level
OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S4
Description
Patient 2, transition to epileptic activity, dt = 0.005
Access Level
OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S5
Description
Patient 2, transition to epileptic activity, dt = 0.010
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OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S6
Description
Patient 2, transition to epileptic activity, dt = 0.029
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OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S7
Description
Patient 2, spike series in detail, dt=0.059
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OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S8
Description
Patient 3, as reference, dt=0.005
Access Level
OA Open Access
Last Uploaded
2016-03-24T10:08:42Z
File Title
Sonification Example S9
Description
Patient 3, as reference, dt=0.010
Access Level
OA Open Access
Last Uploaded
2016-03-24T10:08:42Z

This data publication is cited in the following publications:
2017291
Vocal Sonification of Pathologic EEG Features
Hermann T, Baier G, Stephani U, Ritter H (2006)
In: Proceedings of the International Conference on Auditory Display. Stockman T (Ed);London, U.K.: Department of Computer Science, Queen Mary, University of London: 158-163.
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