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Low-Profile off-Body Wearable Antenna for Biomedical Applications

2023· article· en· W4327927741 on OpenAlex
Rania Rabhi, Hamid Akbari–Chelaresi, Melad M. Olaimat, Ali Gharsallah, Omar M. Ramahi

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
TopicWireless Body Area Networks
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLambdaWearable computerComputer scienceBandwidth (computing)Antenna (radio)WidebandElectrical engineeringPhysicsTelecommunicationsEmbedded systemEngineeringOptics

Abstract

fetched live from OpenAlex

In this work, a wearable off-body antenna with very-low profile dimensions of <tex>$0.21\lambda_{0} \times 0.27\lambda_{0} \times 0.007\lambda_{0}$</tex>, operating at 5.8 GHz, is proposed. This antenna is capable of working in both free space and on body. Thus, it has been characterized and fabricated for both scenarios. The gain, on-body efficiency, and bandwidth of the antenna are 4.4 <tex>$\mathbf{dBi}$</tex>, 13.2%, and 42%, respectively, showing a better performance than its counterparts. Being low-profile, small, robust, easy-to-fabricate, efficient, fairly wideband, and low-cost, this antenna can be used in biomedical sensing applications. Also, owing to its unidirectional radiation pattern, this antenna can be used in off-body WBAN communication systems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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