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Two-Element Implantable MIMO Antenna with Sensing Capabilities

2022· article· en· W4296911296 on OpenAlexaff
Amjad Iqbal, Tayeb A. Denidni

Bibliographic record

Venue2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) · 2022
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMIMOBandwidth (computing)Electronic engineeringAntenna (radio)Computer scienceAntenna efficiencyRadiation patternTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In this paper, a dual-port implantable MIMO antenna is proposed for high-data-rate communication and sensing inner state of tissues. To achieve compactness in the proposed design, a high dielectric substrate, reactive slots and shorting pins are adopted. Accordingly, the suggested antenna maintains a compact geometry. Both elements of the antenna operate at 915 MHz with a fractional bandwidth (FBW) of 6.95% and isolation of 21.77 dB. The results demonstrate good communication performance as well as sensing capability. The suggested antenna has fair radiation patterns, gains, impedance matching and bandwidths for all dielectric properties of human tissues. Furthermore, it maintains consistent MIMO parameters over the wide range of human tissues. Therefore, the proposed antenna is suitable for high-data-rate communication and monitoring pathological changes of tissues.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.009
GPT teacher head0.225
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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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Same venue2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)Same topicWireless Body Area NetworksFrench-language works237,207