The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants
Abstract
Resonance-based wireless power delivery is an efficient technique to transfer power over a relatively long distance. This technique typically uses four coils as opposed to two coils used in conventional inductive links. In the four-coil system, the adverse effects of a low coupling coefficient between primary and secondary coils are compensated by using high-quality (Q) factor coils, and the efficiency of the system is improved. Unlike its two-coil counterpart, the efficiency profile of the power transfer is not a monotonically decreasing function of the operating distance and is less sensitive to changes in the distance between the primary and secondary coils. A four-coil energy transfer system can be optimized to provide maximum efficiency at a given operating distance. We have analyzed the four-coil energy transfer systems and outlined the effect of design parameters on power-transfer efficiency. Design steps to obtain the efficient power-transfer system are presented and a design example is provided. A proof-of-concept prototype system is implemented and confirms the validity of the proposed analysis and design techniques. In the prototype system, for a power-link frequency of 700 kHz and a coil distance range of 10 to 20 mm, using a 22-mm diameter implantable coil resonance-based system shows a power-transfer efficiency of more than 80% with an enhanced operating range compared to ~40% efficiency achieved by a conventional two-coil system.
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
Modeling and optimization of printed spiral coils in air, saline, and muscle tissue environments
Jow, U.-M., & Ghovanloo, M. (2009) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2009.2025366 · Cited by 241
Powering an Artificial Heart: Birth of the Inductively Coupled–Radio Frequency System in 1960
Schuder, J. C. (2002) · Artificial Organs · doi:10.1046/j.1525-1594.2002.07130.x · Cited by 106
Research works printed but not linked: 40
- 10.1109/PESC.1996.548595 · DOI
- 2005, New England Wire Technologies Litz Wire Technical pdf
- 10.1109/TPS.2007.914693 · DOI
- 10.1109/TMAG.2007.904189 · DOI · Paper page
- 10.1109/15.917948 · doi:10.1109/15.917948
- grandi, 1996, Stray capacitances of single-layer air-core inductors for high-frequency applications, Proc IEEE Industry Applications Conf, 1384
- 2005, New England Wire Technologies Litz Wire Product
- 10.1109/EPE.2007.4417574 · DOI
- 10.1109/PESC.1996.548808 · doi:10.1109/pesc.1996.548808
- 10.1109/20.914375 · DOI · Paper page
- 10.1109/ICSENS.2008.4716759 · DOI
- soma, 1975, transmission of time varying magnetic field through body tissue, J Biol Phys, 3, 95, 10.1007/BF02309611 · doi:10.1007/bf02309611
- schuder, 1961, energy transfer into a closed chest by means of stationary coupling coils and a portable high-power oscillator, ASAIO J, 7, 327
- 10.1109/ISCAS.2007.378508 · DOI · Paper page
- 10.1109/IEMBS.1995.579873 · doi:10.1109/iembs.1995.579873
- 10.1007/BF02442388 · DOI · Paper page
- 10.1109/ICMA.2007.4304140 · doi:10.1109/icma.2007.4304140
- 10.1007/s10544-007-9113-z · doi:10.1007/s10544-007-9113-z
- 10.1109/5.104225 · DOI · Paper page
- 10.1016/j.aop.2007.04.017 · DOI · Paper page
- 10.1109/TBCAS.2007.913130 · DOI · Paper page
- 10.1049/iet-nbt:20070022 · doi:10.1049/iet-nbt:20070022
- 10.1109/TBME.1987.326088 · DOI · Paper page
- 10.1109/IEMBS.2007.4353657 · doi:10.1109/iembs.2007.4353657
- catrysse, 2003, An inductive power system with integrated bidirectional data transmission, Proc Eurosensors X, 843
- 10.1109/28.793378 · DOI · Paper page
- 10.1109/IEMBS.2006.260470 · DOI
- 10.1109/BIOCAS.2008.4696884 · doi:10.1109/biocas.2008.4696884
- 10.1109/TNSRE.2007.903970 · DOI
- 10.1109/TBME.2005.856247 · DOI · Paper page
- 10.1109/TIE.2008.2010110 · DOI · Paper page
- 10.1109/TBCAS.2007.893180 · DOI · Paper page
- kurs, 2007, wireless power transfer via strongly coupled magnetic resonances, Sci Expr, 317, 83
- liu, 2009, Wireless power transfer system design for implanted and worn devices, Proc IEEE 30th Annual Northeast on Bioengineering Conf, 1
- zhu, 2008, Simulation and experimental analysis on wireless energy transfer based on magnetic resonances, Proc IEEE Vehicle Power and Propulsion Conf, 1
- 10.1109/BIOCAS.2009.5372092 · DOI
- malmivuo, 2004, Bioelectromagn
- 10.1109/TPEL.2009.2017195 · DOI · Paper page
- 10.1109/10.503178 · DOI · Paper page
- 10.1109/CNE.2005.1419677 · DOI
Cited by
Wireless power transfer to deep-tissue microimplants
Ho, J. S., Yeh, A. J., Neofytou, E., Kim, S., Tanabe, Y., Patlolla, B., Beygui, R. E., & Poon, A. S. Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403002111 · Cited by 541
Power Approaches for Implantable Medical Devices
Amar, A., Kouki, A., & Cao, H. (2015) · Sensors · doi:10.3390/s151128889 · Cited by 432
Implantable devices: issues and challenges
Bazaka, K., & Jacob, M. (2012) · Electronics · doi:10.3390/electronics2010001 · Cited by 358
Wireless power transfer techniques for implantable medical devices: a review
Khan, S. R., Pavuluri, S. K., Cummins, G., & Desmulliez, M. P. Y. (2020) · Sensors · doi:10.3390/s20123487 · Cited by 355
“In [67,140,141] and [137,142], L is calculated using Equations (6) and (8), and Mij is determined using (9) and (11).”
BackgroundMethodInfluentialLi, W., Zhao, H., Li, S., Deng, J., Kan, T., & Mi, C. C. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2384003 · Cited by 331
Metadata
- Authors
- RamRakhyani, A. K., Mirabbasi, S., & Chiao, M.
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2011-02
- Volume
- 5
- Issue
- 1
- Pages
- 48-63
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2160400740
- Cited by
- 945
- References
- 2
- FWCI
- 35.88
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants. https://app.cochat.ai/papers/10.1109/tbcas.2010.2072782
- The paper
- RamRakhyani, A. K., Mirabbasi, S., & Chiao, M. (2011). Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2010.2072782
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.