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Beamspace magnetoencephalographic signal decomposition in spherical harmonics domain.

Authors
Type
Published Article
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
1557-170X
Publication Date
Volume
1
Pages
5743–5746
Identifiers
PMID: 17946327
Source
Medline

Abstract

The recently proposed signal space separation (SSS) method can transform the multichannel magnetic measurements of brain (MEG) into parts that correspond to inner sources and undesired external interferences. In this paper, we extend this method by decomposing the signal into deep and superficial regions. This is realized by manipulating the SSS coefficients using a scheme that exploits beamspace methodology. It relies on estimating a linear transformation which maximizes the power of the source space of interest over the power of remaining part. We demonstrate that this method yields a simple and direct way to decompose the signal into deep and/or superficial parts.

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