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A spline framework for estimating the EEG surface laplacian using the Euclidean metric
Authors:Carvalhaes Claudio G  Suppes Patrick
Affiliation:Center for the Study of Language and Information, Stanford University, Stanford, CA, 94305-4101, USA. claudioc@stanford.edu
Abstract:This letter develops a framework for EEG analysis and similar applications based on polyharmonic splines. This development overcomes a basic problem with the method of splines in the Euclidean setting: that it does not work on low-degree algebraic surfaces such as spherical and ellipsoidal scalp models. The method's capability is illustrated through simulations on the three-sphere model and using empirical data.
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