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Wireless Power Transfer Approaches for Medical Implants: A Review
Open accessAbstract
Wireless power transmission (WPT) is a critical technology that provides an alternative for wireless power and communication with implantable medical devices (IMDs). This article provides a study concentrating on popular WPT techniques for IMDs including inductive coupling, microwave, ultrasound, and hybrid wireless power transmission (HWPT) systems. Moreover, an overview of the major works is analyzed with a comparison of the symmetric and asymmetric design elements, operating frequency, distance, efficiency, and harvested power. In general, with respect to the operating frequency, it is concluded that the ultrasound-based and inductive-based WPTs have a low operating frequency of less than 50 MHz, whereas the microwave-based WPT works at a higher frequency. Moreover, it can be seen that most of the implanted receiver’s dimension is less than 30 mm for all the WPT-based methods. Furthermore, the HWPT system has a larger receiver size compared to the other methods used. In terms of efficiency, the maximum power transfer efficiency is conducted via inductive-based WPT at 95%, compared to the achievable frequencies of 78%, 50%, and 17% for microwave-based, ultrasound-based, and hybrid WPT, respectively. In general, the inductive coupling tactic is mostly employed for transmission of energy to neuro-stimulators, and the ultrasonic method is used for deep-seated implants.
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“This range minimizes eddy current losses, thereby reducing the risk of localized heating and its subsequent influence on neural stability (Maaß et al., 2017; Haerinia and Shadid, 2020; Mahmood et al., 2022).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Haerinia and Shadid, 2020
In the citing paper
“A value closer to 1 not only maximizes energy transfer but also minimizes potential thermal damage to neural tissues—a concern for BMIs requiring high computational power for real-time neural decoding (Haerinia and Shadid, 2020; Khan et al., 2020).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Haerinia and Shadid, 2020
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“Mainly, determining SAR can be achieved by using numerical techniques and empirical models using fabricated tissue phantoms [4,34–38].”
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Zhang, K., Liu, C., Jiang, Z. H., Zhang, Y., Liu, X., Guo, H., & Yang, X. (2019) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2019.2943424 · Cited by 77 · cited 1×
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A 10.5 cm Ultrasound Link for Deep Implanted Medical Devices
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BackgroundPower and Interactive Information Transmission to Implanted Medical Device Using Ultrasonic
Suzuki, S., Kimura, S., Katane, T., Saotome, H., Saito, O., & Kobayashi, K. (2002) · Japanese Journal of Applied Physics · doi:10.1143/jjap.41.3600 · Cited by 60 · cited 1×
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MethodA Dual-Band HF and UHF Antenna System for Implanted Neural Recording and Stimulation Devices
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Self-citationA Tissue-Channel Transcutaneous Power Transfer Technique for Implantable Devices
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MethodNear-Field Wireless Power Transfer to Stent-Based Biomedical Implants
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BackgroundA Microwave Ring-Resonator Sensor for Non-Invasive Assessment of Meat Aging
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BackgroundInductive link design for medical implants
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Multi-disciplinary challenges in tissue modeling for wireless electromagnetic powering: a review
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MethodA Closed-Loop Remote Powering Link for Wireless Cortical Implants
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Novel coated differentially fed dual‐band fractal antenna for implantable medical devices
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Design of 2.45 GHz microwave wireless power transfer system for battery charging applications
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An 8 Mbps data rate transmission by inductive link dedicated to implantable devices
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MethodLow-Power Implanted Sensor for Orthodontic Bond Failure Diagnosis and Detection
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Sagar, A., Kashyap, A., Nasab, M. A., Padmanaban, S., Bertoluzzo, M., Kumar, A., & Blaabjerg, F. (2023) · IEEE Access · doi:10.1109/access.2023.3300475 · Cited by 238
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Battery‐Free and Wireless Technologies for Cardiovascular Implantable Medical Devices
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Metadata
- Authors
- Haerinia, M., & Shadid, R.
- Affiliations
- University of North Dakota (US)
- Applied Science Private University (JO)
- Corresponding author
- Haerinia, Mohammad
- Venue
- Signals
- Publisher
- MDPI AG
- Published
- 2020-12-16
- Volume
- 1
- Issue
- 2
- Pages
- 209-229
- ISSN
- 2624-6120 (ISSN-L)
- OpenAlex
- W3112882954
- Cited by
- 174
- References
- 118
- Citations by year
- 2026: 15 · 2025: 41 · 2024: 41 · 2023: 36 · 2022: 33 · 2021: 8
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Signals (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Induction Heating and Inverter Technology
- Keywords
- wireless power transfer, biomedical implants, inductive coupling, microwave power transmission, power transfer efficiency, nerve stimulator
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