The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Survey on Intrabody Communications for Body Area Network Applications
Abstract
The rapid increase in healthcare demand has seen novel developments in health monitoring technologies, such as the body area networks (BAN) paradigm. BAN technology envisions a network of continuously operating sensors, which measure critical physical and physiological parameters e.g., mobility, heart rate, and glucose levels. Wireless connectivity in BAN technology is key to its success as it grants portability and flexibility to the user. While radio frequency (RF) wireless technology has been successfully deployed in most BAN implementations, they consume a lot of battery power, are susceptible to electromagnetic interference and have security issues. Intrabody communication (IBC) is an alternative wireless communication technology which uses the human body as the signal propagation medium. IBC has characteristics that could naturally address the issues with RF for BAN technology. This survey examines the on-going research in this area and highlights IBC core fundamentals, current mathematical models of the human body, IBC transceiver designs, and the remaining research challenges to be addressed. IBC has exciting prospects for making BAN technologies more practical in the future.
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
Dispersion and Absorption in Dielectrics I. Alternating Current Characteristics
Cole, K. S., & Cole, R. H. (1941) · The Journal of Chemical Physics · doi:10.1063/1.1750906 · Cited by 10,152
Cited by
A Survey on Wireless Body Area Networks: Technologies and Design Challenges
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2014.012214.00007 · Cited by 710
Suarez, F., Parekh, D. P., Ladd, C., Vashaee, D., Dickey, M. D., & Öztürk, M. C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.181 · Cited by 317
A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments
Ghamari, M., Janko, B., Sherratt, R., Harwin, W., Piechockic, R., & Soltanpur, C. (2016) · Sensors · doi:10.3390/s16060831 · Cited by 300
A lightweight multi-layer authentication protocol for wireless body area networks
Shen, J., Chang, S., Shen, J., Liu, Q., & Sun, X. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.033 · Cited by 258
Internet of nano-things healthcare applications: Requirements, opportunities, and challenges
Ali, N. A., & Abu-Elkheir, M. (2015) · 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) · doi:10.1109/wimob.2015.7347934 · Cited by 70
Metadata
- Authors
- Seyedi, M., Kibret, B., Lai, D. T. H., & Faulkner, M.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2013-08
- Volume
- 60
- Issue
- 8
- Pages
- 2067-2079
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2038418650
- Cited by
- 327
- References
- 1
- FWCI
- 16.30
- Type
- journal article
- 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
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.
