Virtual depth-electrode measurement using MEG eigenspace beamformer

Author

Sekihara, K. ; Poeppel, D. ; Miyashita, Y.

Author_Institution

JST Mind Articulation Project, Tokyo, Japan

Volume

1

fYear

1999

fDate

1999

Abstract

We have developed a method that can estimate the time course of a neural activity at a predetermined location with a high signal-to-noise ratio. Using this method, an MEG sensor array can perform like a virtual depth electrode in vivo. The developed method consists of two steps: the first step estimating the orientation of a neural source and the second step estimating its activity time course. The second step uses the eigenspace beamformer, which is known to give the signal-to-noise ratio higher than that from the conventional minimum-variance beamformer

Keywords

eigenvalues and eigenfunctions; inverse problems; magnetoencephalography; medical signal processing; activity time course; high signal-to-noise ratio; magnetoencephalography eigenspace beamformer; magnetoencephalography sensor array; neural activity; neural source; orientation; predetermined location; virtual depth electrode in vivo; virtual depth-electrode measurement; Antennas and propagation; Biomedical measurements; Biosensors; Covariance matrix; Delay; Educational institutions; Eigenvalues and eigenfunctions; Electrodes; In vivo; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802542

Filename

802542