PARAMETER ESTIMATION AND DYNAMIC SOURCE LOCALIZATION FOR THE MAGNETOENCEPHALOGRAPHY (MEG) INVERSE PROBLEM

Dynamic estimation methods based on linear state-space models have been applied to the inverse problem of magnetoencephalography (MEG), and can improve source localization compared with static methods by incorporating temporal continuity as a constraint. The efficacy of these methods is influenced b...

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Hlavní autoři: Lamus, C., Long, C.J., Hämäläinen, M.S., Brown, E.N, Purdon, P.L.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2007
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2855975/
https://ncbi.nlm.nih.gov/pubmed/20407591
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2007.357046
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