A Comparison of Minimum Norm and Music for a Combined Meg/Eeg Sensor Array : Volume 10, Issue 6 (18/09/2012)

By Ahrens, H.

Book Id: WPLBN0003979878
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title:	A Comparison of Minimum Norm and Music for a Combined Meg/Eeg Sensor Array : Volume 10, Issue 6 (18/09/2012)
Author:	Ahrens, H.
Volume:	Vol. 10, Issue 6
Language:	English
Subject:	Science, Advances, Radio
Collections:	Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic Publication Date:	2012
Publisher:	Copernicus Gmbh, Göttingen, Germany

Member Page:	Copernicus Publications
Citation APA MLA Chicago Argin, F., Klinkenbusch, L., & Ahrens, H. (2012). A Comparison of Minimum Norm and Music for a Combined Meg/Eeg Sensor Array : Volume 10, Issue 6 (18/09/2012). Retrieved from http://gutenberg.cc/

Description
Description: Institut für Elektrotechnik und Informationstechnik, Christian-Albrechts-Universität zu Kiel, Germany. Many different algorithms for imaging neuronal activity with magnetoencephalography (MEG) or electroencephalography (EEG) have been developed so far. We validate the result of other authors that a combined MEG/EEG sensor array provides smaller source localisation errors than a single MEG or single EEG sensor array for the same total number of sensors. We show that Multiple Signal Classification (MUSIC) provides smaller localisation errors than an unweighted minimum norm method for activity located in the cortical sulcus regions. This is important for many medical applications, e.g. the localisation of the origin of epileptic seizures (focal epilepsy) that can be located very deep in the cortical sulcus.

Summary
A comparison of minimum norm and MUSIC for a combined MEG/EEG sensor array

Excerpt
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