Go to content
UR Home

Probabilistic ICA with kernel-based source density estimation as a diagnostic aid to identify brain tumor related EEG signals

Bauer, Ch., Habl, M., Ziegaus, Ch., Lang, Elmar, Puntonet, C. G. and Schulmeyer, F. (2000) Probabilistic ICA with kernel-based source density estimation as a diagnostic aid to identify brain tumor related EEG signals. In: Haghdy, Fazel and Kurfess, F., (eds.) Proc. of ISA/CI. Vol. 2. ICSC Academic Press/Canada, pp. 411-418.

Full text not available from this repository.


Export bibliographical data



Item type:Book section
Date:2000
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Item ID:16720
Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons