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.
Original language | English |
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Title of host publication | 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | IEEE |
Publication date | 2012 |
Pages | 1538-1541 |
ISBN (Print) | 978-1-4244-4119-8 |
ISBN (Electronic) | 978-1-4244-4120-4 |
DOIs | |
Publication status | Published - 2012 |
Event | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Hilton Bayfront Hotel, San Diego, CA, United States Duration: 28 Aug 2012 → 1 Sep 2012 http://embc2012.embs.org/ |
Conference
Conference | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Location | Hilton Bayfront Hotel |
Country | United States |
City | San Diego, CA |
Period | 28/08/2012 → 01/09/2012 |
Internet address |
Series | I E E E Engineering in Medicine and Biology Society. Conference Proceedings |
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ISSN | 2375-7477 |