
doi: 10.1155/2012/840593
For solving electroencephalographic forward problem, coupled method of finite element method (FEM) and fast moving least square reproducing kernel method (FMLSRKM) which is a kind of meshfree method is proposed. Current source modeling for FEM is complicated, so source region is analyzed using meshfree method. First order of shape function is used for FEM and second order for FMLSRKM because FMLSRKM adopts point collocation scheme. Suggested method is tested using simple equation using 1‐, 2‐, and 3‐dimensional models, and error tendency according to node distance is studied. In addition, electroencephalographic forward problem is solved using spherical head model. Proposed hybrid method can produce well‐approximated solution.
Signal theory (characterization, reconstruction, filtering, etc.), Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory, Medical applications (general), QA1-939, Computational methods for problems pertaining to biology, Mathematics
Signal theory (characterization, reconstruction, filtering, etc.), Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory, Medical applications (general), QA1-939, Computational methods for problems pertaining to biology, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
