Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model

L. J. Waldorp, H. M. Huizenga, C. V. Dolan, P. C.M. Molenaar

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24 Scopus citations

Abstract

Estimated generalized least squares (EGLS) electromagnetic source analysis is used to downweight noisy and correlated data. Standard EGLS requires many trials to accurately estimate the noise covariances and, thus, the source parameters. Alternatively, the noise covariances can be modeled parametrically. Only the parameters of the model describing the noise covariances need to be estimated and, therefore, less trials are required. This method is referred to as parametric egls (PEGLS). In this paper, PEGLS is developed and its performance is tested in a simulation study and in a pseudoempirical study.

Original languageEnglish (US)
Pages (from-to)737-741
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Volume48
Issue number6
DOIs
StatePublished - Jun 18 2001

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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