A finite difference forward model for MEG and EEG
Name
146521194-MIT.pdf
Description
Full printable version
Size
3.76 MB
Format
Adobe PDF
Checksum (MD5)
8c0c97f139d004aeab199c2f59c19633
Author(s)
Schwarz, Omri
Advisor(s)
Eric Grimson.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I designed and implemented a model of the electromagnetic signals generated by the human brain as seen on magnetoencephalography and electroencephalography machines. The model makes a novel use of the principle of reciprocity combined with Ohm's Law and the Biot Savart Law to build a model of the human magnetoencephalogram that is much faster to compute than the current state of the art. The model uses an existing finite difference model for electroencephalography and modifies it to incorporate the Bi6t Savart Law into its geometry. I tested the model against a spherical model to show that it is highly sensitive to approximations made of the Bi6t Savart Law for finite plane-bounded elements, but that further refinements of the model could make it as accurate as regular finite element models for magnetoencephalography.
Description
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, September 2006.
Includes bibliographical references (p. 45-50).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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