Conference paper
An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1538-1541 |
| Proceedings: | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| Series: | I E E E Engineering in Medicine and Biology Society. Conference Proceedings |
| ISBN: | 1424441196 , 1457717875 , 9781424441198 , 9781457717871 , 142444120X and 9781424441204 |
| ISSN: | 1557170x , 1094687x , 15584615 and 23757477 |
| Types: | Conference paper |
| DOI: | 10.1109/EMBC.2012.6346235 |
| ORCIDs: | Petersen, Michael Kai , Larsen, Jakob Eg and Hansen, Lars Kai |
