A Spline Framework for Estimating the EEG Surface Laplacian Using the Euclidean Metric
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 mod...
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Veröffentlicht in: | Neural computation 2011-11, Vol.23 (11), p.2974-3000 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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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ISSN: | 0899-7667 1530-888X |
DOI: | 10.1162/NECO_a_00192 |