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dc.date.accessioned 2021-10-21T17:33:26Z
dc.date.available 2021-10-21T17:33:26Z
dc.date.issued 2009
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/127069
dc.description.abstract We study the effect of the head shape variations on the EEG/magnetoencephalography (MEG) forward and inverse problems. We build a random head model such that each sample represents the head shape of a different individual and solve the forward problem assuming this random head model, using a polynomial chaos expansion. The random solution of the forward problem is then used to quantify the effect of the geometry when the inverse problem is solved with a standard head model. The results derived with this approach are valid for a continuous family of head models, rather than just for a set of cases. The random model consists of three random surfaces that define layers of different electric conductivity, and we built an example based on a set of 30 deterministic models from adults. Our results show that for a dipolar source model, the effect of the head shape variations on the EEG/MEG inverse problem due to the random head model is slightly larger than the effect of the electronic noise present in the sensors. The variations in the EEG inverse problem solutions are due to the variations in the shape of the volume conductor, while the variations in the MEG inverse problem solutions, larger than the EEG ones, are caused mainly by the variations of the absolute position of the sources in a coordinate system based on anatomical landmarks, in which the magnetometers have a fixed position. en
dc.format.extent 587-597 es
dc.language en es
dc.subject EEG/magnetoencephalography (MEG) average head model es
dc.subject Polynomial chaos expansion (PCE) es
dc.subject Sparse grids es
dc.subject Stochastic modeling es
dc.title Effect of head shape variations among individuals on the EEG/MEG forward and inverse problems en
dc.type Articulo es
sedici.identifier.other pmid:19389682 es
sedici.identifier.other doi:10.1109/tbme.2009.2008445 es
sedici.identifier.issn 1558-2531 es
sedici.identifier.issn 0018-9294 es
sedici.creator.person Ellenrieder, Nicolás von es
sedici.creator.person Muravchik, Carlos Horacio es
sedici.creator.person Wagner, Michael es
sedici.creator.person Nehorai, Arye es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle IEEE Transactions on Biomedical Engineering es
sedici.relation.journalVolumeAndIssue vol. 56, no. 3 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)