A new algorithm for estimating scalp laplacian EEG and its application to visual-evoked potentials

Fuqiang Zhao, Bin He

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper presents a new method to estimate the scalp Laplacian EEG from scalp potentials on a realistic geometry scalp surface. The mathematical potential distribution on the realistically shaped scalp is constructed using a three-dimensional spline, and the mathematical scalp geometry model is constructed using a two-dimensional spline. The performance of the proposed method is evaluated by computer simulations using the three-concentric-sphere head model. The feasibility of the present method has also been tested in visual-evoked potentials recorded in a human subject. The present simulation and experimental data suggest that the proposed method provides an alternative to estimating the surface Laplacian from potentials over a realistic-geometry scalp.

Original languageEnglish (US)
Pages (from-to)633-640
Number of pages8
JournalElectromagnetics
Volume21
Issue number7-8
DOIs
StatePublished - Dec 1 2001

Keywords

  • 2D and 3D spline
  • High-resolution EEG
  • Local Cartesian coordinate system
  • Realistic geometry Laplacian
  • Surface Laplacian estimate
  • VEP

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