Modified Beamspace Method for the Spatial Filtering of Magnetoencephalographic Data

View Sample PDF

Author(s): Tolga Esat Özkurt (University of Pittsburgh, USA), Mingyu Sun (University of Wisconsin - Milwaukee, USA)and Robert J. Sclabassi (University of Pittsburgh, USA)
Copyright: 2008
Pages: 10
Source title: Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch115

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

Purchase

View Modified Beamspace Method for the Spatial Filtering of Magnetoencephalographic Data on the publisher's website for pricing and purchasing information.

Abstract

In this article, we propose a novel preprocessing method in the spherical harmonics domain to decompose the MEG signal into specific parts, whose sources arise from user-prescribed concentric spherical regions. A particular case of this approach is presented to separate the data into parts corresponding to deep and superficial regions of the brain, without using inverse solutions. Throughout this article, plain italics denote scalars, lower case boldface symbols denote vectors, uppercase boldface symbols denote matrices, superscripts T and H stand for transpose and Hermitian transpose, and ||.||, tr(.), * indicate Euclidean norm, and trace and complex conjugate operations, respectively.

The IRMA Community

Research IRM

Modified Beamspace Method for the Spatial Filtering of Magnetoencephalographic Data

Purchase

Abstract

Related Content

IRMA Sponsors