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Efficient Wireless Power Transfer to an Ultra-Miniaturized Antenna for Future Cardiac Leadless Pacemaker

2024· article· en· W4395662063 on OpenAlexaff
Farooq Faisal, Ahmed Moulay, Mohamed Chaker, Tarek Djerafi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsWireless power transferWirelessElectrical engineeringAntenna (radio)Power (physics)Cardiac pacemakerElectronic engineeringComputer scienceCardiologyEngineeringTelecommunicationsMedicinePhysics

Abstract

fetched live from OpenAlex

An ultra-wideband antenna with an ultra-miniaturized size of only 10.66 mm3 is proposed for a leadless pacemaker. The antenna was integrated with the dummy electronics of an LP to consider the components effects. The specific absorption rates were found in the safety limits. The antenna is tested by experiments in minced pork and the measured results are found in close agreement with simulation results. To convert the received radio frequency (RF) energy into direct current (DC), a multi-section rectifier with a wideband functionality was integrated with the proposed antenna. To improve the RF-dc conversion efficiency of the rectifier, spatial power combining techniques have been employed. In these techniques, two signals (1.5 GHz and 1.52 GHz) components have been generated separately and transmitted through an ultra-wideband horn antenna. It is observed that transferring two signals improved the received dc voltage by 28.2% compared to using a single frequency.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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 teacher head, not a consensus.

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

Citations3
Published2024
Admission routes1
Has abstractyes

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