The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
The electric resistivity of human tissues (100 Hz-10 MHz): a meta-analysis of review studies
Open accessAbstract
The electric resistivity of various human tissues has been reported in many studies, but on comparison large differences appear between these studies. The aim of this study was to investigate systematically the resistivities of human tissues as published in review studies (100 Hz-10 MHz). A data set of 103 resistivities for 21 different human tissues was compiled from six review studies. For each kind of tissue the mean and its 95% confidence interval were calculated. Moreover, an analysis of covariance showed that the calculated means were not statistically different for most tissues, namely skeletal (171 omega cm) and cardiac (175 omega cm) muscle, kidney (211 omega cm), liver (342 omega cm), lung (157 omega cm) and spleen (405 omega cm), with bone (> 17,583 omega cm), fat (3,850 omega cm) and, most likely, the stratum corneum of the skin having higher resistivities. The insignificance of differences between various tissue means could imply an equality of their resistivities, or, alternatively, could be the result of the large confidence intervals which obscured real existing differences. In either case, however, the large 95% confidence intervals reflected large uncertainties in our knowledge of resistivities of human tissues. Applications based on these resistivities in bioimpedance methods, EEG and EKG, should be developed and evaluated with these uncertainties in mind.
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
Gabriel, S., Lau, R. W., & Gabriel, C. (1996) · Physics in Medicine and Biology · doi:10.1088/0031-9155/41/11/002 · Cited by 4,270
Gabriel, S., Lau, R. W., & Gabriel, C. (1996) · Physics in Medicine and Biology · doi:10.1088/0031-9155/41/11/003 · Cited by 4,175
The dielectric properties of biological tissues: I. Literature survey
Gabriel, C., Gabriel, S., & Corthout, E. (1996) · Physics in Medicine and Biology · doi:10.1088/0031-9155/41/11/001 · Cited by 3,156
Physical properties of tissue : a comprehensive reference book
Duck, F. A. (1990) · Cited by 1,675
Electrical Properties of Tissue and Cell Suspensions
Schwan, H. P. (1957) · Advances in Biological and Medical Physics · doi:10.1016/b978-1-4832-3111-2.50008-0 · Cited by 1,620
Geddes, L. A., & Baker, L. E. (1967) · Medical & Biological Engineering · doi:10.1007/bf02474537 · Cited by 1,610
Pethig, R., & Kell, D. B. (1987) · Physics in Medicine and Biology · doi:10.1088/0031-9155/32/8/001 · Cited by 796
Dielectric properties of breast carcinoma and the surrounding tissues
Surowiec, A. J., Stuchly, S. S., Barr, J. R., & Swarup, A. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.1374 · Cited by 736
Considerations of quasi-stationarity in electrophysiological systems
Plonsey, R., & Heppner, D. B. (1967) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02476917 · Cited by 619
Electrical properties of the epidermal stratum corneum
Yamamoto, T., & Yamamoto, Y. (1976) · Medical & Biological Engineering · doi:10.1007/bf02478741 · Cited by 436
Cited by
Variation in Reported Human Head Tissue Electrical Conductivity Values
McCann, H., Pisano, G., & Beltrachini, L. (2019) · Brain Topography · doi:10.1007/s10548-019-00710-2 · Cited by 293
Two-megahertz impedance index prediction equation for appendicular lean mass in Korean older people
Kim, H., Song, K.-H., Ambegaonkar, J. P., Chung, S., Jeon, K., Jiang, F. L., Eom, J. J., & Kim, C.-H. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-02997-6 · Cited by 12
Metadata
- Authors
- Faes, T. J. C., Meij, H. A. V. D., Munck, J. C. D., & Heethaar, R. M.
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 1999-11-01
- Volume
- 20
- Issue
- 4
- Pages
- R1-R10
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- OpenAlex
- W2021929218
- Cited by
- 347
- References
- 20
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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: The electric resistivity of human tissues (100 Hz-10 MHz): a meta-analysis of review studies. https://app.cochat.ai/papers/10.1088/0967-3334/20/4/201
- The paper
- Faes, T. J. C., Meij, H. A. V. D., Munck, J. C. D., & Heethaar, R. M. (1999). The electric resistivity of human tissues (100 Hz-10 MHz): a meta-analysis of review studies. Physiological Measurement. https://doi.org/10.1088/0967-3334/20/4/201
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.