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Record W4210684997 · doi:10.1109/tap.2022.3145461

A Triple Band Circularly Polarized Antenna for Leadless Cardiac Transcatheter Pacing System

2022· article· en· W4210684997 on OpenAlexaff
Deepti Sharma, Vikrant Kaim, Neeta Singh, Sachin Kumar, Karumudi Rambabu

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2022
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhysicsElectrical engineeringAntenna (radio)Computer scienceTopology (electrical circuits)Engineering

Abstract

fetched live from OpenAlex

The ground-breaking entry of leadless cardiac pacemakers in the cardiac pacemaker’s world has resulted in the design of ultracompact implantable antennas. In this article, we developed a circularly polarized fractal-shaped open-loop antenna for leadless cardiac transcatheter pacing (TCP) system operating at industrial, scientific, and medical bands (915 MHz, 2.4 GHz, and 5.8 GHz). The proposed antenna was constructed on the high permittivity dielectric material Rogers RT/Duroid 6010 LM ($\varepsilon _{r} = 10$) with a tiny footprint of$3\times 3\times0.254$mm3. To the best of our knowledge, this is the smallest footprint antenna that works in triple bands with circular polarization, compared with the other reported implantable antennas. We placed the antenna inside the TCP system to evaluate its performance in a realistic environment. Subsequently, it is placed deep inside at the center of the multilayer (skin–fat–muscle) phantom model with dielectric properties equivalent to the human heart. Furthermore, the antenna was integrated into a 3-D printed TCP capsule with dummy electronics for experimental verification, and its performance was checked in the ballistic gel phantom and minced pork. The measured impedance bandwidths of the antenna at 915 MHz, 2.4 GHz, and 5.8 GHz are 580 MHz, 900 MHz, and 1.2 GHz, respectively. Correspondingly, the measured axial ratio bandwidths in phantom are 255 MHz, 260 MHz, and 370 MHz, and measured gain values are −35.1 dBi, −31.6 dBi, and −26.7 dBi.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.200
Teacher spread0.188 · 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

Citations33
Published2022
Admission routes1
Has abstractyes

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