High-Efficiency Inductive Powering and Auto-Localization of CMOS Brain Implants by a Wearable Metasurface and Coupled Matching

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Authors: Mohammad Abdolrazzaghi, Roman Genov, G. V. Eleftheriades
Cited by: 1
References: 18

Abstract

We present a high-efficiency wireless powering architecture designed for subcortical medical implants. Conventional inductive links struggle to bridge themid-field gap, where the power density decays rapidly with depth. To overcome this, we propose a 13.56-MHz system enhancing a coupled-matching topology with a passive hexagonal metasurface (MS) relay. This MS configuration boosts evanescent fields to create amagnetic funnel, while the matching network enables intrinsic implant auto-localization. Complementing the link, we report a 65-nm CMOS hybrid rectifier utilizing a bootstrapped scheme with a dynamic auxiliary biasing path to achieve>70%efficiency. Experimental validation confirms a 1.7X power boost at 30-mm depth, delivering$250~\mu $W, and improved misalignment tolerance, establishing a robust framework for batteryless deep-brain neuromodulation.

Fields of Study & Subjects

Neuroscience and Neural Engineering Wireless Power Transfer Systems Advanced Memory and Neural Computing

Publication details

Journal / source
IEEE Microwave and Wireless Technology Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
36
Issue
6
Pages
962–965
Publication date
30 March 2026