An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality
- Authors:
-
- Stahlhut, Carsten ;
- Attias, Hagai Thomas ;
- Stopczynski, Arkadiusz ;
-
Petersen, Michael Kai
;
Close
0000-0002-2156-9226
Department of Informatics and Mathematical Modeling, Technical University of Denmark -
Larsen, Jakob Eg
;
Close0000-0002-7461-9901
Department of Informatics and Mathematical Modeling, Technical University of Denmark -
Hansen, Lars Kai
Close0000-0003-0442-5877
Department of Informatics and Mathematical Modeling, Technical University of Denmark
- DOI:
- 10.1109/EMBC.2012.6346235
- Abstract:
- EEG source reconstruction involves solving an inverse problem that is highly ill-posed and dependent on a generally fixed forward propagation model. In this contribution we compare a low and high density EEG setup’s dependence on correct forward modeling. Specifically, we examine how different forward models affect the source estimates obtained using four inverse solvers Minimum-Norm, LORETA, Minimum-Variance Adaptive Beamformer, and Sparse Bayesian Learning.
- ISBN:
- 9781424441198, 9781424441204
- Type:
- Conference paper
- Language:
- English
- Published in:
- Annual International Conference of the Ieee Engineering in Medicine and Biology Society, 2012, p. 1538-1541
- Main Research Area:
- Science/technology
- Series:
- I E E E Engineering in Medicine and Biology Society. Conference Proceedings
- Conference:
- 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012
- Publisher:
- IEEE
- Submission year:
- 2012
- ID:
- 232632369
