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Record W2913836742 · doi:10.1109/mwscas.2018.8624070

H-Field Probe with Active Balun for MRI-Conditional Testing of Medical Devices

2018· article· en· W2913836742 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsWestern University
Fundersnot available
KeywordsBalunFootprintMaterials scienceSensitivity (control systems)RADIUSSIGNAL (programming language)Antenna (radio)Magnetic resonance imagingOptoelectronicsElectrical engineeringAcousticsElectronic engineeringPhysicsComputer scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

This work presents the design and construction of a H-field probe with active balun for MRI (magnetic resonance imaging) conditional testing of medical devices. The H-field probe was designed using a small loop antenna with 2 mm radius to have high spatial resolution and sensitivity. It was tuned and matched at a center frequency of 128 MHz, which corresponds to 3 T MRI systems or equivalent RF exposure systems. An active balun with a gain 18.28 dB and noise figure of 0.5 dB was employed to boost the detected H-field signal level. The designed Hfield probe and active balun have been fabricated on a doublesided printed circuit board (PCB), FR4 thickness of 1.57 mm and a copper thickness of 35 μm, with overall footprint of 22 mm × 11 mm.

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.

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 categoriesnone
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 score0.671
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.026
GPT teacher head0.258
Teacher spread0.231 · 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