Evidence map›Paper›PMID 42653630›Full record

ReviewMicromachines2026

A Framework for Short-Range Wireless Power and Data Transfer in Miniaturized High-Power, High-Bandwidth Implants.

Lyssa Ramaut, Pieterjan Polfliet, Gilles Callebaut, Liesbet Van der Perre

Abstract readReview
In one paragraph

Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lyssa RamautDepartment of Electrical Engineering, Katholieke Universiteit Leuven (KU Leuven), 9000 Ghent, Belgium.ORCID 0009-0000-3290-8345
Pieterjan PolflietCochlear Technology Centre Belgium, Cochlear Limited, 2800 Mechelen, Belgium.ORCID 0009-0000-4626-5862
Gilles CallebautDepartment of Electrical Engineering, Katholieke Universiteit Leuven (KU Leuven), 9000 Ghent, Belgium.ORCID 0000-0003-2413-986X
Liesbet Van der PerreDepartment of Electrical Engineering, Katholieke Universiteit Leuven (KU Leuven), 9000 Ghent, Belgium.ORCID 0000-0002-9158-9628

Funding

Flanders Innovation and Entrepreneurship HBC.2025.0907
6 · The paper itself

Abstract

As implantable medical devices become increasingly miniaturized while demanding higher power levels, longer lifetimes, and larger data throughput, conventional powering and communication approaches are reaching their practical limits. Consequently, wireless power and data transfer have emerged as key enabling technologies for next-generation implantable systems. However, designing wireless links that simultaneously satisfy these requirements while remaining compact, efficient, and safe remains a significant challenge. To address this, this paper introduces an exploration and evaluation framework for selecting and co-designing short-range wireless power and data transfer technologies in medical devices such as cochlear and retinal implants. Guided by application requirements and relevant safety standards, the framework evaluates candidate technologies based on their operating principles, performance, and integration complexity. Based on this analysis, resonant inductive coupling is identified as the preferred approach for wireless power transfer, while both coil-based and antenna-based solutions are considered for wireless data transfer. Additionally, the paper compares architectures for integrated wireless power and data transfer, including both single- and multiple-link designs, and reviews strategies for uplink communication. The framework aims to guide the development of future sensory neuroprostheses that are smaller, safer, and capable of higher performance through optimized wireless link design.

Indexed as

design guidelineshigh data rateminiaturized high-performance implantspower transfer efficiencywireless data transferwireless power transfer

Identifiers

PMID42653630
PMCPMC13515821

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.