TY - JOUR
T1 - An Approximate Electromagnetic Model for Optimizing Wireless Charging of Biomedical Implants
AU - van Oosterhout, Kyle
AU - Paulides, Margarethus M.
AU - Pflug, Hans
AU - Beumer, Steven
AU - Mestrom, Rob
PY - 2022/6
Y1 - 2022/6
N2 - Computational modeling is increasingly used to design charging systems for implanted medical devices. The design of these systems must often satisfy conflicting criteria, and fast electromagnetic solvers are pivotal for enabling multi-criteria optimization. In this paper, we look at wireless power transfer for implantable devices and the specific absorption rate and induced currents related to the implanted side of the design. We present an analytical model based on the quasi-static approximation as a fast, yet sufficiently accurate, alternative for full wave electromagnetic modeling. The analytic model was benchmarked against full-wave simulations to validate accuracy and improvement in computation time. Our analysis shows that the analytic model allows for feasible complete optimization of coil shapes, as the analytic model takes only 11 seconds to compute a single iteration, while the full-wave model takes 5 hours to compute the same case. The maximum difference with full-wave simulations was less than 25\% and the mean difference less than 2.3%. Adding a novel figure of merit into the multi-criterion optimization resulted in a 16% higher charging speed. The specific absorption rate and coupling factor were both experimentally verified to show that the measured results are within a 5~mm coil offset margin, which validates the simulation results.
AB - Computational modeling is increasingly used to design charging systems for implanted medical devices. The design of these systems must often satisfy conflicting criteria, and fast electromagnetic solvers are pivotal for enabling multi-criteria optimization. In this paper, we look at wireless power transfer for implantable devices and the specific absorption rate and induced currents related to the implanted side of the design. We present an analytical model based on the quasi-static approximation as a fast, yet sufficiently accurate, alternative for full wave electromagnetic modeling. The analytic model was benchmarked against full-wave simulations to validate accuracy and improvement in computation time. Our analysis shows that the analytic model allows for feasible complete optimization of coil shapes, as the analytic model takes only 11 seconds to compute a single iteration, while the full-wave model takes 5 hours to compute the same case. The maximum difference with full-wave simulations was less than 25\% and the mean difference less than 2.3%. Adding a novel figure of merit into the multi-criterion optimization resulted in a 16% higher charging speed. The specific absorption rate and coupling factor were both experimentally verified to show that the measured results are within a 5~mm coil offset margin, which validates the simulation results.
KW - Computational modeling
KW - Mathematical models
KW - Magnetic fields
KW - Numerical models
KW - Magnetic moments
KW - Biological system modeling
KW - Optimization
KW - dosimetry
KW - rechargeable implants
KW - human exposure
KW - Inductive wireless power transfer
KW - specific absorption rate (SAR)
KW - magneto quasi-static approximation
KW - electromagnetic scattering
KW - inductive wireless power transfer
KW - Dosimetry
UR - http://www.scopus.com/inward/record.url?scp=85120575167&partnerID=8YFLogxK
U2 - 10.1109/TBME.2021.3131411
DO - 10.1109/TBME.2021.3131411
M3 - Article
C2 - 34847016
SN - 0018-9294
VL - 69
SP - 1954
EP - 1963
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 6
M1 - 9629315
ER -