DocumentCode
1413332
Title
Regional head tissue conductivity estimation for improved EEG analysis
Author
Ferree, T.C. ; Eriksen, K.J. ; Tucker, D.M.
Author_Institution
Electr. Geodesics Inc., Eugene, OR, USA
Volume
47
Issue
12
fYear
2000
Firstpage
1584
Lastpage
1592
Abstract
The authors develop a method for estimating regional head tissue conductivities in vivo, by injecting small (1-10 μA) electric currents into the scalp, and measuring the potentials at the remaining electrodes of a dense-array electroencephalography net. They first derive analytic expressions for the potentials generated by scalp current injection In a four-sphere model of the human head. They then use a multistart downhill simplex algorithm to find regional tissue conductivities which minimize the error between measured and computed scalp potentials. Two error functions are studied, with similar results. The results show that, despite the low skull conductivity and expected shunting by the scalp, all four regional conductivities can be determined to within a few percent error. The method is robust to the noise levels expected in practice. To obtain accurate results the cerebrospinal fluid must be included In the forward solution, but may be treated as a known parameter in the inverse solution.
Keywords
electrical conductivity measurement; electroencephalography; medical signal processing; 1 to 10 muA; analytic expressions; cerebrospinal fluid; computed scalp potentials; dense-array electroencephalography net; electric currents injection; error functions; forward solution; improved EEG analysis; inverse solution; multistart downhill simplex algorithm; regional head tissue conductivity estimation; regional tissue conductivities; Brain modeling; Conductivity measurement; Current measurement; Electric variables measurement; Electrodes; Electroencephalography; Humans; In vivo; Scalp; Skull; Action Potentials; Algorithms; Artifacts; Bias (Epidemiology); Computer Simulation; Electric Conductivity; Electroencephalography; Head; Humans; Imaging, Three-Dimensional; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.887939
Filename
887939
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