Title

MEG Source Localization Using a Frequency Beamformer

Document Type

Presentation

Presentation Date

3-2010

Conference Name

IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)

Conference Location

New York, NY

Source of Publication

Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast

Publisher

IEEE

Inclusive pages

1-2

Abstract

This paper introduces a source localization technique that exploits the high temporal resolution of neuronal magnetoencephalography (MEG) data to locate the originating sources within the head. A traditional frequency beamforming algorithm was adapted from its conventional application of providing frequency information to yield information on the spatial location of simulated neuronal signals. This novel technique incorporates actual MEG sensor locations of the closest sensors at each location in space. The approach is relatively simple to implement, yields good spatial resolution, and accurately spatially locates a simulated source in low signal-to-noise environments.

Keywords

Array signal processing, Brain modeling, Frequency, Magnetic field measurement, Magnetic heads, Magnetic sensors, Magnetoencephalography, Pediatrics, Signal to noise ratio, Spatial resolution

Disciplines

Engineering

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