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Wireless Power Delivery Techniques for Miniature Implantable Bioelectronics
Open accessAbstract
Progress in implanted bioelectronic technology offers the opportunity to develop more effective tools for personalized electronic medicine. While there are numerous clinical and pre‐clinical applications for these devices, power delivery to these systems can be challenging. Wireless battery‐free devices offer advantages such as a smaller and lighter device footprint and reduced failures and infections by eliminating lead wires. However, with the development of wireless technologies, there are fundamental tradeoffs between five essential factors: power, miniaturization, depth, alignment tolerance, and transmitter distance, while still allowing devices to work within safety limits. These tradeoffs mean that multiple forms of wireless power transfer are necessary for different devices to best meet the needs for a given biological target. Here six different types of wireless power transfer technologies used in bioelectronic implants—inductive coupling, radio frequency, mid‐field, ultrasound, magnetoelectrics, and light—are reviewed in context of the five tradeoffs listed above. This core group of wireless power modalities is then used to suggest possible future bioelectronic technologies and their biological applications.
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“Radio Frequency (RF) technology employs far-field electromagnetic waves in the MHz and GHz range to wirelessly transmit energy and data over greater distances to brain implants differentiating it from the near-field magnetic fields utilized in inductive coupling and the intermediate-range operations of Midfield Transfer (MDF).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Singer and Robinson, 2021
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“To tackle the issue of alignment sensitivity, there is a push toward the development of ‘smart’ MDF systems equipped with real-time alignment correction capabilities (Singer and Robinson, 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Singer and Robinson, 2021
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“Inductive coupling requires relatively short distances between the transmitter and receiver for optimal power transfer (Singer and Robinson, 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Singer and Robinson, 2021
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“An external transmitter generates these waves, captured by an antenna connected to an internal receiver in the implant, where it is converted to electrical power (Chow et al., 2013; Singer and Robinson, 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Singer and Robinson, 2021
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“To mitigate these losses, wireless systems might need increased power output, but this is constrained by safety regulations to avoid excessive heat or electromagnetic field exposure, ultimately affecting the maximum usable power for the implant (Singer and Robinson, 2021).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Singer and Robinson, 2021
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Cites
Olds, J., & Milner, P. (1954) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0058775 · Cited by 3,176
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243
Conformal piezoelectric energy harvesting and storage from motions of the heart, lung, and diaphragm
Dagdeviren, C., Yang, B. D., Su, Y., Tran, P. L., Joe, P., Anderson, E., Xia, J., Doraiswamy, V., Dehdashti, B., Feng, X., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317233111 · Cited by 975
Piezoelectric Sensors and Sensor Materials
Tressler, J. F., Alkoy, S., & Newnham, R. E. (1998) · Journal of Electroceramics · doi:10.1023/a:1009926623551 · Cited by 716
(2004) · PubMed · Cited by 681
Hynynen, K., McDannold, N., Sheikov, N. A., Jolesz, F. A., & Vykhodtseva, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.046 · Cited by 679
Ouyang, H., Liu, Z., Li, N., Shi, B., Zou, Y., Xie, F., Ma, Y., Li, Z. Y., Li, H., Zheng, Q., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09851-1 · Cited by 659
Neural recording and modulation technologies
Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655
Biodegradable triboelectric nanogenerator as a life-time designed implantable power source
Zheng, Q., Zou, Y., Zhang, Y., Liu, Z., Shi, B., Wang, X., Jin, Y., Ouyang, H., Li, Z., & Wang, Z. L. (2016) · Science Advances · doi:10.1126/sciadv.1501478 · Cited by 617
Flagged first, then by citations
1 of the 89 references couldn’t be matched to a known paper.
Research works printed but not linked: 16
- Balcombe J. P., 2004, J. Am. Assoc. Lab. Anim. Sci., 43, 42
- Z.Yu J. C.Chen B. W.Avants Y.He J. T.Robinson K.Yang inIEEE Int. Solid‐State Circuits Conf. IEEE Piscataway NJ2020 pp.6–8.
- Rahmani H., 2017, IEEE MTT‐S Int. Microwave Symp. Digest, 300
- Suarez‐Cedeno G., 2017, Parkinson's Dis., 2017
- Chaffee E. L., 1934, Yale J. Biol. Med., 7, 83
- Bear Z. W., 2016, Mo. Med., 113, 68
- Shiramatsu T. I., 2016, Proc. of the Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, EMBS, 1834
- Z.Yu J. C.Chen B. W.Avants Y.He A.Singer J. T.Robinson K.Yang inInt. Solid‐State Circuits Conf. IEEE Piscataway NJ2020 pp. 6–8.
- Sun Y., 2017, 2017 IEEE MTT‐S Int. Microwave Symp. (IMS), 1242
- V. W.Leung J.Lee S.Li S.Yu C.Kilfovle L.Larson A.Nurmikko F.Laiwalla inESSCIRC 2018 – IEEE 44th European Solid State Circuits Conf. IEEE Piscataway NJ2018 p. 271.
- W. B.Phillips B. C.Towe P. J.Larson inAnnual Int. Conf. of the IEEE Engineering in Medicine and Biology – Proc. Vol.2 IEEE Piscataway NJ2003 p. 1983.
- Zhai J., 2006, Appl. Phys. Lett., 89, 8
- Fang Z., 2010, MRS. Online Proc. Libr., 1199, 103
- Li M., 2013, Appl. Phys. Lett., 102, 8
- Sharma R., 2019, Heliyon, 5, 01965
- Bhave G., 2021, Mater. Today
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A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves
Chen, J., Kan, P. T. M., Yu, Z., Alrashdan, F. T., Garcia, R., Singer, A. L., Lai, C. S. E., Avants, B., Crosby, S., Li, Z., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00873-7 · Cited by 237
Self-citationMiniature battery-free bioelectronics
Nair, V., Dalrymple, A. N., Yu, Z., Balakrishnan, G., Bettinger, C. J., Weber, D. J., Yang, K., & Robinson, J. T. (2023) · Science · doi:10.1126/science.abn4732 · Cited by 128
Self-citationChen, H., Wang, L., Liu, S., Sheng, X., & Yin, L. (2024) · ACS Nano · doi:10.1021/acsnano.3c11832 · Cited by 112
Cea, C., Zhao, Z., Wisniewski, D. J., Spyropoulos, G. D., Polyravas, A. G., Gelinas, J. N., & Khodagholy, D. (2023) · Nature Materials · doi:10.1038/s41563-023-01599-w · Cited by 112
Advancements in Wearable and Implantable BioMEMS Devices: Transforming Healthcare Through Technology
Abhinav, V., Basu, P., Verma, S. S., Verma, J., Das, A., Kumari, S., Yadav, P. R., & Kumar, V. (2025) · Micromachines · doi:10.3390/mi16050522 · Cited by 106
Metadata
- Authors
- Singer, A., & Robinson, J. T.
- Affiliations
- Rice University (US)
- Corresponding author
- Robinson, Jacob T.
- Venue
- Advanced Healthcare Materials
- Publisher
- Wiley
- Published
- 2021-06-10
- Volume
- 10
- Issue
- 17
- Pages
- e2100664-e2100664
- ISSN
- 2192-2640 (ISSN-L)
- 2192-2659
- PMC
- PMC8754427
- OpenAlex
- W3172743862
- Cited by
- 159
- References
- 89
- Citations by year
- 2026: 23 · 2025: 38 · 2024: 41 · 2023: 33 · 2022: 19 · 2021: 5
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Advanced Healthcare Materials (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Rice Research Repository (Rice University) (submittedVersion, cc-by)
- Funders
- National Science Foundation (ECCS‐2023849)
- National Institutes of Health (1U18EB029353‐01)
- Defense Advanced Research Projects Agency (FA8650‐21‐2‐7119)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- wireless power transfer, implantable bioelectronics, battery-free devices, inductive coupling, radio frequency power transfer, device miniaturization, misalignment tolerance
- MeSH terms
- Electronics, Miniaturization, Electric Power Supplies, Prostheses and Implants, Wireless Technology
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