DocumentCode
320183
Title
Surface Laplacian with spline and nearest neighbour interpolations for topographic brain mapping
Author
Tierra, C.J. ; Simpson, D.M. ; Infantosi, A.F.C.
Author_Institution
Fed. Univ. of Rio de Janeiro, Brazil
Volume
3
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1206
Abstract
In the construction of topographic maps from the EEG, the Laplacian (or Source Derivation) operation improves the localisation of sources, by reducing the smearing effect in conducting layers of the head. Due to the use of a limited number of electrodes, interpolation techniques are employed either before or after applying the Laplacian. In the present work, two such approaches, Spline interpolation followed by Laplacian and Laplacian followed by four nearest neighbour interpolation, are applied to scalp potential distributions derived from simulated dipole sources. The results prove both approaches to be similarly effective in demonstrating the presence of multiple dipoles
Keywords
brain; electroencephalography; interpolation; medical image processing; splines (mathematics); EEG; electrodiagnostics; multiple dipoles; nearest neighbour interpolation; scalp potential distribution; simulated dipole sources; spline interpolation; surface Laplacian; topographic brain mapping; topographic maps construction; Brain mapping; Brain modeling; Electrodes; Electroencephalography; Head; Interpolation; Laplace equations; Scalp; Spline; Surface topography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.652775
Filename
652775
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