Analysis of the MEG source localization method combining signal space separation and magnetic field tomography

Tadashi Kitahara; Satoshi Honda

Analysis of the MEG source localization method combining signal space separation and magnetic field tomography

Tadashi Kitahara, Satoshi Honda

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.

Original language	English
Title of host publication	SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
Publisher	Society of Instrument and Control Engineers (SICE)
Pages	2341-2344
Number of pages	4
ISBN (Print)	9784907764395
Publication status	Published - 2011 Jan 1
Event	50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan Duration: 2011 Sept 13 → 2011 Sept 18

Publication series

Name	Proceedings of the SICE Annual Conference

Other

Other	50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
Country/Territory	Japan
City	Tokyo
Period	11/9/13 → 11/9/18

Keywords

Magnetic Field Tomography (MFT)
Magnetoencephalography (MEG)
Signal Space Separation (SSS)

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. / Kitahara, Tadashi; Honda, Satoshi.
SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts. Society of Instrument and Control Engineers (SICE), 2011. p. 2341-2344 6060365 (Proceedings of the SICE Annual Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kitahara, T & Honda, S 2011, Analysis of the MEG source localization method combining signal space separation and magnetic field tomography. in SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts., 6060365, Proceedings of the SICE Annual Conference, Society of Instrument and Control Engineers (SICE), pp. 2341-2344, 50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011, Tokyo, Japan, 11/9/13.

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abstract = "Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.",

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AB - Magnetic Field Tomography (MFT) is a MEG localization method which requires least inappropriate assumptions but most computational load. To reduce the massive computational load of MFT, the combination method of MFT with Signal Space Separation (SSS) was proposed in our previous work. In this paper, the localization ability of the combination of MFT and SSS (MFT+SSS) is evaluated more precisely. Simple Numerical simulations revealed the improvement of the localization of MFT+SSS. Besides that, weighted Tikhonov regularization for the ill-posed SSS inversion is proposed. This regularization method establishes a remarkable robustness against the measurement noise.

KW - Magnetic Field Tomography (MFT)

KW - Magnetoencephalography (MEG)

KW - Signal Space Separation (SSS)

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Analysis of the MEG source localization method combining signal space separation and magnetic field tomography

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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