MétaCan
Menu
Back to cohort

Ultra-compact Implantable MIMO Antenna with Radiation Pattern Diversity for Scalp-based Implants

2024· article· en· W4405633941 on OpenAlexaff
Amine Essa, Eqab Almajali, Rony E. Amaya, Muhammad Ikram, Soliman A. Mahmoud

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Body Area Networks
Canadian institutionsCarleton University
Fundersnot available
KeywordsScalpDiversity (politics)Antenna (radio)Radiation patternMIMOComputer scienceReconfigurable antennaRadiationElectronic engineeringOptoelectronicsMaterials sciencePhysicsEngineeringAntenna efficiencyTelecommunicationsOpticsMedicineAnatomy

Abstract

fetched live from OpenAlex

This work presents the development of a new ultra-compact implantable two-element MIMO antenna with radiation diversity for bio-telemetry communication in scalp-based implants. The design consists of two separated mirrored semicircular slotted patches that radiate in dissimilar directions to enable radiation diversity. The proposed antenna occupies a very compact volume of 4.085 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>and is designed to resonate at 2.4 GHz. Two different numerical techniques were used to validate the antenna's performance in a scalp-based environment. Due to symmetry, both antenna's radiating elements achieved a fractional bandwidth of 25.13% and a peak gain of -19.8 dBi at the resonance frequency. The antenna showed an ability to radiate in two dissimilar directions with a radiation coverage angle of ± 60°. Specific absorption rate and link budget analyses were conducted and demonstrated the antenna's ability to perform bio-telemetry communication at high data rates of up to 100 Mbps while satisfying power safety regulations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score0.572

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 head0.010
GPT teacher head0.207
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicWireless Body Area NetworksFrench-language works237,207