{"title":"Efficient Inductive Link Design: A Systematic Method for Optimum Biomedical Wireless Power Transfer in Area-Constrained Implants.","authors":"Asif Iftekhar Omi, Anyu Jiang, Baibhab Chatterjee","doi":"10.1109/TBCAS.2025.3531995","DOIUrl":null,"url":null,"abstract":"<p><p>In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of power transfer efficiency (PTE) optimization within the spatial/area constraints of bio-implants embedded in tissue. Key contributions include the derivation of an optimal self-inductance with S-parameter-based analyses leading to the codesign of planar spiral coils and L-section impedance matching networks. To validate the proposed design methodology, two coil prototypes- one symmetric (type-1) and one asymmetric (type- 2)- were fabricated and tested for PTE in pork tissue. Targeting a 20 MHz design frequency, the type-1 coil demonstrated a state-of-the-art PTE of ~ 4% (channel length = 15 mm) with a return loss (RL) > 20 dB on both the input and output sides, within an area constraint of < 18×18 mm<sup>2</sup>. In contrast, the type-2 coil achieved a PTE of ~ 2% with an RL > 15 dB, for a smaller receiving coil area of < 5×5 mm<sup>2</sup> for the same tissue environment. To complement the coils, we demonstrate a 65 nm test chip with an integrated energy harvester, which includes a 30-stage rectifier and low-dropout regulator (LDO), producing a stable ~ 1V DC output within tissue medium, matching theoretical predictions and simulations. Furthermore, we provide a robust and comprehensive guideline for advancing efficient inductive links for various BWPT applications, with shared resources in GitHub available for utilization by the broader community.</p>","PeriodicalId":94031,"journal":{"name":"IEEE transactions on biomedical circuits and systems","volume":"PP ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on biomedical circuits and systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TBCAS.2025.3531995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of implantable bioelectronics, this work provides new insights into maximizing biomedical wireless power transfer (BWPT) via the systematic development of inductive links. This approach addresses the specific challenges of power transfer efficiency (PTE) optimization within the spatial/area constraints of bio-implants embedded in tissue. Key contributions include the derivation of an optimal self-inductance with S-parameter-based analyses leading to the codesign of planar spiral coils and L-section impedance matching networks. To validate the proposed design methodology, two coil prototypes- one symmetric (type-1) and one asymmetric (type- 2)- were fabricated and tested for PTE in pork tissue. Targeting a 20 MHz design frequency, the type-1 coil demonstrated a state-of-the-art PTE of ~ 4% (channel length = 15 mm) with a return loss (RL) > 20 dB on both the input and output sides, within an area constraint of < 18×18 mm2. In contrast, the type-2 coil achieved a PTE of ~ 2% with an RL > 15 dB, for a smaller receiving coil area of < 5×5 mm2 for the same tissue environment. To complement the coils, we demonstrate a 65 nm test chip with an integrated energy harvester, which includes a 30-stage rectifier and low-dropout regulator (LDO), producing a stable ~ 1V DC output within tissue medium, matching theoretical predictions and simulations. Furthermore, we provide a robust and comprehensive guideline for advancing efficient inductive links for various BWPT applications, with shared resources in GitHub available for utilization by the broader community.