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Record W2012809755 · doi:10.1109/embc.2012.6346265

A transcutaneous power transfer interface based on a multicoil inductive link

2012· article· en· W2012809755 on OpenAlexaff
S. Abdollah Mirbozorgi, Benoit Gosselin, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsPolytechnique MontréalUniversité Laval
Fundersnot available
KeywordsElectromagnetic coilMaximum power transfer theoremRepeater (horology)CapacitorElectrical engineeringWireless power transferPower (physics)Topology (electrical circuits)InductorComputer scienceElectronic engineeringEngineeringMechanical engineeringPhysicsVoltage

Abstract

fetched live from OpenAlex

This paper presents a transcutaneous power transfer link based on a multicoil structure. Multicoil inductive links using 4-coil or 3-coil topologies have shown significant improvement over conventional 2-coil structures for transferring power transcutaneously across larger distances and with higher efficiency. However, such performance comes at the cost of additional inductors and capacitor in the system, which is not convenient in implantable applications. This paper presents a transcutaneous power transfer interface that takes advantage on a 3-coils inductive topology to achieve wide separation distances and high power transfer efficiency without increasing the size of the implanted device compared to a conventional 2-coil structure. In the proposed link, a middle coil is placed outside the body to act as a repeater between an external transmitting coil and an implanted receiving coil. The proposed structure allows optimizing the link parameters after implantation by changing the characteristics of the repeater coil. Simulation with a multilayer model of the biological tissues and measured results are presented for the proposed link.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.210
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

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