Computing MEG signal sources

J. Mikael Eklund, Ruzena Bajcsy, Jonathan Sprinkle, Gregory V. Simpson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with the complexity of the inverse computation of brain currents from Magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.

Original languageEnglish (US)
Title of host publication2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages332-335
Number of pages4
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States
Duration: Aug 8 2005Aug 11 2005

Publication series

Name2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Other

Other2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
CountryUnited States
CityStanford, CA
Period8/8/058/11/05

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Computing MEG signal sources'. Together they form a unique fingerprint.

Cite this