The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On the numerical accuracy of the boundary element method (EEG application)
Open accessAbstract
The numerical accuracy of the boundary element (BE) method used to solve the volume conduction problem of nested compartments, each having a homogeneous conductivity, is studied. The following techniques for improving this accuracy are discussed: the handling of the auto solid angle element omega ii, the overall refinement of the level of discreteness, the use of a locally refined discrete grid, the isolated problem approach, and an adaptive refined computation of the discrete surface integrals involved in the BE method. The effects of these techniques on the numerical accuracy of the computed electrical potentials are illustrated by taking a volume conductor consisting of four concentric spheres representing the head since for this model an analytical (exact) solution is available. The techniques are of importance for numerically computed electroencephalograms (EEG's) since the numerically computed surface EEG's are severely affected by the relatively low conductivity of the compartment representing the skull.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Hamalainen, M. S., & Sarvas, J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16463 · Cited by 989
Electric Dipole Tracing in the Brain by Means of the Boundary Element Method and Its Accuracy
He, B., Musha, T., Okamoto, Y., Homma, S., Nakajima, Y., & Sato, T. (1987) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1987.326056 · Cited by 334
Cited by
The electrical conductivity of human cerebrospinal fluid at body temperature
Baumann, S. B., Wozny, D. R., Kelly, S. K., & Meno, F. M. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.554770 · Cited by 494
Current Density Reconstructions Using the L1 Norm
Wagner, M., Wischmann, H.-A., Fuchs, M., Köhler, T., & Drenckhahn, R. (2000) · Biomag 96 · doi:10.1007/978-1-4612-1260-7_96 · Cited by 17
Metadata
- Authors
- Meijs, J. W. H., Weier, O. W., Peters, M. J., & Van Oosterom, A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1989
- Volume
- 36
- Issue
- 10
- Pages
- 1038-1049
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2021763752
- Cited by
- 305
- References
- 2
- FWCI
- 2.28
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the numerical accuracy of the boundary element method (EEG application). https://app.cochat.ai/papers/10.1109/10.40805
- The paper
- Meijs, J. W. H., Weier, O. W., Peters, M. J., & Van Oosterom, A. (1989). On the numerical accuracy of the boundary element method (EEG application). IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.40805
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
