The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Design and Optimization of Printed Spiral Coils for Efficient Transcutaneous Inductive Power Transmission
Abstract
The next generation of implantable high-power neuroprosthetic devices such as visual prostheses and brain computer interfaces are going to be powered by transcutaneous inductive power links formed between a pair of printed spiral coils (PSC) that are batch-fabricated using micromachining technology. Optimizing the power efficiency of the wireless link is imperative to minimize the size of the external energy source, heating dissipation in the tissue, and interference with other devices. Previous design methodologies for coils made of 1-D filaments are not comprehensive and accurate enough to consider all geometrical aspects of PSCs with planar 3-D conductors as well as design constraints imposed by implantable device application and fabrication technology. We have outlined the theoretical foundation of optimal power transmission efficiency in an inductive link, and combined it with semi-empirical models to predict parasitic components in PSCs. We have used this foundation to devise an iterative PSC design methodology that starts with a set of realistic design constraints and ends with the optimal PSC pair geometries. We have executed this procedure on two design examples at 1 and 5 MHz achieving power transmission efficiencies of 41.2% and 85.8%, respectively, at 10-mm spacing. All results are verified with simulations using a commercial field solver (HFSS) as well as measurements using PSCs fabricated on printed circuit boards.
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
Visual perception in a blind subject with a chronic microelectronic retinal prosthesis
Humayun, M. S., Weiland, J. D., Fujii, G. Y., Greenberg, R., Williamson, R., Little, J., Mech, B., Cimmarusti, V., Van Boemel, G., Dagnelie, G., et al. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00457-7 · Cited by 856
Optimization of inductive RFID technology
Chen, S. C. Q., & Thomas, V. (2002) · Proceedings of the 2001 IEEE International Symposium on Electronics and the Environment. 2001 IEEE ISEE (Cat. No.01CH37190) · doi:10.1109/isee.2001.924506 · Cited by 75
A wireless single-chip telemetry-powered neural stimulation system
Von Arx, J. A., & Najafi, K. (2003) · 1999 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC. First Edition (Cat. No.99CH36278) · doi:10.1109/isscc.1999.759199 · Cited by 74
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
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
“Its performance is commonly limited by the skin effect and proximity effect resistances [36,69,72], large separation distance between TX and RX, translational and angular misalignment of the coils and tissue losses.”
BackgroundMethodInfluentialModeling 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
Self-citationLee, S. B., Lee, H.-M., Kiani, M., Jow, U.-M., & Ghovanloo, M. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2078814 · Cited by 220
Self-citationA review of acoustic power transfer for bio-medical implants
Basaeri, H., Christensen, D. B., & Roundy, S. (2016) · Smart Materials and Structures · doi:10.1088/0964-1726/25/12/123001 · Cited by 202
Metadata
- Authors
- Jow, U.-M., & Ghovanloo, M.
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2007-09
- Volume
- 1
- Issue
- 3
- Pages
- 193-202
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2110065276
- Cited by
- 630
- References
- 3
- FWCI
- 8.19
- 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 Printed Spiral Coils for Efficient Transcutaneous Inductive Power Transmission. https://app.cochat.ai/papers/10.1109/tbcas.2007.913130
- The paper
- Jow, U.-M., & Ghovanloo, M. (2007). Design and Optimization of Printed Spiral Coils for Efficient Transcutaneous Inductive Power Transmission. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2007.913130
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.