Estimating Electric Field and SAR in Tissue in the Proximity of RF Coils
- PMID: 32966027
- Bookshelf ID: NBK562112
- DOI: 10.1007/978-3-030-45623-8_18
Estimating Electric Field and SAR in Tissue in the Proximity of RF Coils
Excerpt
Medical implants that require recharging typically use magnetic resonant coupling of transmit (external) and receive (internal) RF coils. Apart from magnetic field, the transmit coil creates a time-varying electric field that excites currents not only in the receive coil but also in the surrounding tissues. Radio frequency (RF) exposure assessment for inductive systems used in wireless powering and telemetry is done using electric field, specific absorption rate (SAR), and induced current as metrics. Full-wave analysis using RF simulation tools such as Ansys HFSS is generally used to estimate these metrics, and the results are widely accepted. However, such simulation-based analysis is quite rigorous and time-consuming, let alone the complexities with setting up the simulation.
In this paper, we present a simple approach to estimating exposure (electric field, SAR, induced current) from fundamental electromagnetic principles enabling ability to arrive at results quickly. It significantly reduces the computational time in iterative approaches where multiple simulation runs are needed.
Copyright 2021, The Author(s).
Sections
- 1. Introduction
- 2. SAR in the Tissue
- 3. Tissues
- 4. Two Components of Electric Field Inside the Tissue
- 5. “Uniform Current” Approximation
- 6. Getting Rid of the Block of Tissue
- 7. Maximum Allowed Current
- 8. Verification: HFSS vs. “Uniform Current”
- 9. Skin Depth Attenuation in the Tissue
- 10. Conclusions
- References
References
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- Loeb, G. E., Peck, R. A., Moore, W. H., & Hood, K. (2001). BionTM system for distributed neural prosthetic interfaces. Medical Engineering & Physics, 23(1), 9–18. - PubMed
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- Lemdiasov, R., & Venkatasubramanian A. (2017). Transmit coil design for wireless power transfer for medical implants. In: 39th annual international conference of the IEEE engineering in medicine..., July 11–15, 2017, Jeju Island, Korea.
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- Jegadeesan, R., & Guo, Y.-X. (2012). Topology selection and efficiency improvement of inductive power links. IEEE Transactions on Antennas and Propagation, 60(10), 4846–4854.
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