Near-field wireless power transfer used in biomedical implants: a comprehensive review
Open accessAbstract
Wireless power transfer (WPT) techniques have been utilized in various biomedical applications to overcome the challenges of battery capacity and lifetime, and high‐cost surgical interventions, using biomedical implants (BMIs) and biomedical sensors (BMSs), including deep brain stimulators, capsule endoscopes, pacemakers, and cardiac monitoring sensors. In this article, near‐field WPT methods in BMIs and BMSs, including magnetic resonator coupling (MRC), inductive coupling (IC), and capacitive coupling (CC), are reviewed, and some biomedical applications of these methods are highlighted. The applications of WPT have been explored in recent years to enhance the major performance metrics of BMIs. The main topologies of MRC‐WPT are presented, and the main mathematical models related to each type were extracted from previous studies and detailed here. Additionally, the main performance metrics and results achieved, along with their suggested biomedical applications, are summarized in a comparison table. Some challenges and limitations of using WPT in the biomedical field and suggestions for improving the efficiency of WPT for biomedical applications are also discussed. Furthermore, future trends in WPT‐based BMIs are also highlighted.
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Improper calibration can compromise the mutual inductance between the internal and external coils, reducing power transfer efficiency.
“Improper calibration can compromise the mutual inductance between the internal and external coils, reducing power transfer efficiency (Mahmood et al., 2022).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Mahmood et al., 2022
This frequency range minimizes eddy current losses, reducing the risk of localized heating and its subsequent influence on neural stability.
“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 Mahmood et al., 2022
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- Authors
- Mahmood, A. I., Gharghan, S. K., Eldosoky, M. A., & Soliman, A. M.
- Affiliations
- Middle Technical University (IQ)
- Helwan University (EG)
- Corresponding author
- Gharghan, Sadik Kamel
- Venue
- IET Power Electronics
- Published
- 2022-07-05
- Volume
- 15
- Issue
- 16
- Pages
- 1936-1955
- ISSN
- 1755-4535 (ISSN-L)
- 1755-4543
- OpenAlex
- W4283818340
- Cited by
- 59
- References
- 127
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 23 · 2023: 11 · 2022: 2
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IET Power Electronics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Helwan University
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Mechanical Engineering › Induction Heating and Inverter Technology
- Keywords
- near-field power transfer, biomedical implants, biomedical sensors, inductive coupling, capacitive coupling, deep brain stimulator, capsule endoscope, cardiac pacemaker, battery-free devices, power transfer efficiency
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