An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality
- Authors:
- 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:
- 9781424441204, 9781424441198
- Type:
- Conference paper
- Language:
- English
- Published in:
- Ieee Engineering in Medicine and Biology Society Conference Proceedings, 2012, p. 1538-1541
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Series:
- I E E E Engineering in Medicine and Biology Society. Conference Proceedings
- Review type:
- Peer Review
- Conference:
- 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012
- Publisher:
- IEEE
- Submission year:
- 2012
- Scientific Level:
- Scientific
- ID:
- 232632369
