Analysing MEG-data by a combination of different neural networks

Authors:
M. Borschbach;W.-M. Lippe;C. Mertens;S. Niendieck
Affiliations:
University of Muenster, Germany, Department of Computer Science, Einsteinstr. 62, 48149 Muenster;University of Muenster, Germany, Department of Computer Science, Einsteinstr. 62, 48149 Muenster;University of Muenster, Germany, Department of Computer Science, Einsteinstr. 62, 48149 Muenster;University of Muenster, Germany, Department of Computer Science, Einsteinstr. 62, 48149 Muenster
Venue:
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Year:
2003

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Abstract

The localization of intracerebral dipole sources for detecting pathological events is one object of magnetoencephalography (MEG). Another one is the analysis of brain processing and brain structures. We present a system consisting of two different types of Artificial Neural Networks. One for the separation of temporally overlapping sources and the other one for the determination of the different magnetic dipoles.1