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Spatial Filtering of MEG Signals for User-Specified Spherical Regions
Date
2009-10-01
Author
Özkurt, Tolga Esat
Sun, Mingui
Jia, Wenyan
Sclabassi, Robert J.
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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We introduce a spatial filtering method in the spherical harmonics domain for constraining magnetoencephalographic (MEG) multichannel measurements to any user-specified spherical region of interest (ROI) inside the head. The method relies on a linear transformation of the signal space separation inner coefficients that represent the MEG signal generated by sources located inside the head. The spatial filtering is achieved effectively by constructing a spherical harmonics basis vector that is dependent on the center of the targeted ROI and it does not require any discrete division of the headspace into grids like the traditional MEG spatial filtering approaches. The validation and the performance of the method are demonstrated through both simulated and actual bilateral auditory-evoked data experiments.
Subject Keywords
Biomagnetism
,
inverse problem
,
magnetoencephalography (MEG)
,
signal space separation (SSS)
,
source localization
,
spatial filtering
,
spherical harmonics
,
SPACE SEPARATION
,
RESPONSES
,
EEG
URI
https://hdl.handle.net/11511/97171
Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
DOI
https://doi.org/10.1109/tbme.2009.2024760
Collections
Graduate School of Informatics, Article
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BibTeX
T. E. Özkurt, M. Sun, W. Jia, and R. J. Sclabassi, “Spatial Filtering of MEG Signals for User-Specified Spherical Regions,”
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
, vol. 56, no. 10, pp. 2429–2438, 2009, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97171.