A spline framework for estimating the eeg surface laplacian using the euclidean metric

Authors:
Claudio G. Carvalhaes;Patrick Suppes
Affiliations:
-;-
Venue:
Neural Computation
Year:
2011

Citing 5
Cited 0

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ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro

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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.