1.
Annu Int Conf IEEE Eng Med Biol Soc
; 2012: 1538-41, 2012.
Article
in English
| MEDLINE
| ID: mdl-23366196
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.