The DOI matches its Crossref record.
UWB for noninvasive wireless body area networks: channel measurements and results
Abstract
The paper presents UWB channel measurements from 3 to 6 GHz for a body area network (BAN) in an anechoic chamber and an office room. Both, transmit and receive antenna were placed directly on the body. Channel parameters as delay spread and path loss are extracted from the measurements and the influence of the body is highlighted. We show that in some situations there are significant echoes from the body (e.g. from the arms) and we observed deterministic echoes from the floor that could help to simplify a RAKE receiver structure. Finally, we consider the overall energy consumption of the BAN and give decision regions for singlehop and multihop links in relation to signal processing energy.
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
Cited by
Wireless Body Area Networks: A Survey
Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., & Jamalipour, A. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.121313.00064 · Cited by 1,538
A Comprehensive Survey of Wireless Body Area Networks: On PHY, MAC, and Network Layers Solutions
Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., & Kwak, K. S. (2012) · Journal of Medical Systems · doi:10.1007/s10916-010-9571-3 · Cited by 811
Body Area Sensor Networks: Challenges and Opportunities
Hanson, M. A., Powell, H. C., Barth, A. T., Ringgenberg, K., Calhoun, B. H., Aylor, J. H., & Lach, J. (2009) · Computer · doi:10.1109/mc.2009.5 · Cited by 555
Hughes, L., Wang, X., & Chen, T. (2012) · Sensors · doi:10.3390/s121114730 · Cited by 71
Metadata
- Authors
- Zasowski, T., Althaus, F., Stager, M., Wittneben, A., & Troster, G.
- Venue
- IEEE Conference on Ultra Wideband Systems and Technologies, 2003
- Publisher
- IEEE
- Published
- 2004-07-08
- Pages
- 285-289
- OpenAlex
- W2534345316
- Cited by
- 255
- References
- 0
- FWCI
- 36.85
- Type
- conference paper
- Language
- en
- Open access
- closed
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: UWB for noninvasive wireless body area networks: channel measurements and results. https://app.cochat.ai/papers/10.1109/uwbst.2003.1267849
- The paper
- Zasowski, T., Althaus, F., Stager, M., Wittneben, A., & Troster, G. (2004). UWB for noninvasive wireless body area networks: channel measurements and results. IEEE Conference on Ultra Wideband Systems and Technologies, 2003. https://doi.org/10.1109/uwbst.2003.1267849
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.