An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality

Carsten Stahlhut; Hagai Thomas  Attias; Arkadiusz Stopczynski; Michael Kai Petersen; Jakob Eg Larsen; Lars Kai Hansen

doi:10.1109/EMBC.2012.6346235

An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality

Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen

Convex Imaging

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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
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	https://doi.org/10.1109/EMBC.2012.6346235
Publication status	Published - 2012
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Hilton Bayfront Hotel, San Diego, United States Duration: 28 Aug 2012 → 1 Sep 2012 Conference number: 34

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	34
Location	Hilton Bayfront Hotel
Country/Territory	United States
City	San Diego
Period	28/08/2012 → 01/09/2012

Series	I E E E Engineering in Medicine and Biology Society. Conference Proceedings
ISSN	2375-7477

Bibliographical note

Copyright 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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Stahlhut2012 EMBC

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Stahlhut, C., Attias, H. T., Stopczynski, A., Petersen, M. K., Larsen, J. E., & Hansen, L. K. (2012). An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1538-1541 ). IEEE. I E E E Engineering in Medicine and Biology Society. Conference Proceedings https://doi.org/10.1109/EMBC.2012.6346235

Stahlhut, Carsten ; Attias, Hagai Thomas ; Stopczynski, Arkadiusz et al. / An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. pp. 1538-1541 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

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title = "An Evaluation of EEG Scanner{\textquoteright}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{\textquoteright}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.",

author = "Carsten Stahlhut and Attias, {Hagai Thomas} and Arkadiusz Stopczynski and Petersen, {Michael Kai} and Larsen, {Jakob Eg} and Hansen, {Lars Kai}",

note = "Copyright 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

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language = "English",

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Stahlhut, C, Attias, HT, Stopczynski, A, Petersen, MK , Larsen, JE & Hansen, LK 2012, An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, I E E E Engineering in Medicine and Biology Society. Conference Proceedings, pp. 1538-1541 , 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, California, United States, 28/08/2012. https://doi.org/10.1109/EMBC.2012.6346235

An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality. / Stahlhut, Carsten; Attias, Hagai Thomas ; Stopczynski, Arkadiusz et al.

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. p. 1538-1541 (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Petersen, Michael Kai

AU - Larsen, Jakob Eg

AU - Hansen, Lars Kai

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AB - 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.

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Stahlhut C, Attias HT, Stopczynski A, Petersen MK , Larsen JE , Hansen LK. An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. 2012. p. 1538-1541 . (I E E E Engineering in Medicine and Biology Society. Conference Proceedings). doi: 10.1109/EMBC.2012.6346235

An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality

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