The DOI matches its Crossref record.
Designing Efficient Inductive Power Links for Implantable Devices
Abstract
Due to limited battery life and size limitations, many implantable biomedical devices must be powered inductively. Because of weak coupling between implanted and external coils, obtaining high power efficiency is a challenge. Previous authors have addressed the issue of optimizing power efficiency in these systems. In this paper, we further this analysis for the case of planar spiral "pancake" coils at low RF frequencies (100 kHz -10 MHz). We consider practical design constraints such as component variation, power amplifier limitations, and coil voltage limits. We introduce a new, complete expression for total power link efficiency.
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 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
Li, 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
Miniaturised wireless power transfer systems for neurostimulation: a review
Barbruni, G. L., Ros, P. M., Demarchi, D., Carrara, S., & Ghezzi, D. (2020) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2020.3038599 · Cited by 161
A Figure-of-Merit for Designing High-Performance Inductive Power Transmission Links
Kiani, M., & Ghovanloo, M. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2227914 · Cited by 146
Zargham, M., & Gulak, P. G. (2015) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2014.2328318 · Cited by 115
Metadata
- Authors
- Harrison, R. R.
- Venue
- 2007 IEEE International Symposium on Circuits and Systems (ISCAS)
- Publisher
- IEEE
- Published
- 2007-05
- Pages
- 2080-2083
- ISSN
- 0271-4302 (ISSN-L)
- OpenAlex
- W2107860320
- Cited by
- 244
- References
- 0
- FWCI
- 15.10
- 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: Designing Efficient Inductive Power Links for Implantable Devices. https://app.cochat.ai/papers/10.1109/iscas.2007.378508
- The paper
- Harrison, R. R. (2007). Designing Efficient Inductive Power Links for Implantable Devices. 2007 IEEE International Symposium on Circuits and Systems (ISCAS). https://doi.org/10.1109/iscas.2007.378508
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.
