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

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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 languageEnglish
    Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    PublisherIEEE
    Publication date2012
    Pages1538-1541
    ISBN (Print)978-1-4244-4119-8
    ISBN (Electronic)978-1-4244-4120-4
    DOIs
    Publication statusPublished - 2012
    Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Hilton Bayfront Hotel, San Diego, CA, United States
    Duration: 28 Aug 20121 Sep 2012
    http://embc2012.embs.org/

    Conference

    Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    LocationHilton Bayfront Hotel
    CountryUnited States
    CitySan Diego, CA
    Period28/08/201201/09/2012
    Internet address
    SeriesI E E E Engineering in Medicine and Biology Society. Conference Proceedings
    ISSN2375-7477

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