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A 6.78-MHz Robust WPT System with Inductive Link Bandwidth Extended for cm-Sized Implantable Medical Devices

2020· article· en· W3082603186 on OpenAlexaff
Mousa Karimi, Hicham Jouaicha, François Lellouche, Pierre Bouchard, Mohamad Sawan, Benoit Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsPolytechnique MontréalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité Laval
Fundersnot available
KeywordsTransmitterWireless power transferBandwidth (computing)Maximum power transfer theoremElectrical engineeringRadio frequencyWirelessComputer sciencePower transmissionElectronic engineeringTransmission (telecommunications)Power (physics)Electromagnetic coilEngineeringPhysicsTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new technique to design a robust inductive link for Wireless Power Transmission (WPT) to centimeter-sized (cm-sized) Implantable Medical Devices (IMDs). The consequence of this methodology is the bandwidth extension of utilized link to maximize both Power Delivered to Load (PDL) and Power Transfer Efficiency (PTE). Design, circuit implementation, and In-vivo validation experimental results are reported. Different conditions of tests, including three misalignment experiments, are performed with the proposed WPT system to prove the concept of a robust inductive link. The geometry of the Transmitter (Tx) and Receiver (Rx) coils are considered as well as the operating frequency (fp) of the WPT system. The Tx and Rx coils are crafted in a circulated shape with the diameters of 5 and 2.5 cm, respectively. Achieved PTE and PDL are in the range of 0.82%-25.7% and 44.4mW-720mW, respectively. The distance between Tx and Rx coils varies in the range of 1.5 to 4cm.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.209
Teacher spread0.192 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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