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Record W4409883490 · doi:10.1109/tbme.2025.3564653

A Dual-Purpose Microwave-Optical Component for Wireless Capsule Endoscopy: A Feasibility Study by Radio Link Analysis

2025· article· en· W4409883490 on OpenAlexaff
Pyry Kiviharju, Lauri Vähä-Savo, Juha Tuomela, Clemens Icheln, Katsuyuki Haneda, Sergei Tretyakov, Jari Holopainen, Qiyin Fang, Hiroaki Hagiwara, Zachary Taylor

Bibliographic record

VenueIEEE Transactions on Biomedical Engineering · 2025
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsMcMaster University
FundersAcademy of Finland
KeywordsCapsule endoscopyMicrowaveDual (grammatical number)Radio frequencyWirelessComponent (thermodynamics)Radio Link ProtocolComputer scienceMicrowave transmissionElectronic engineeringTelecommunicationsEngineeringPhysicsMedicineRadiology

Abstract

fetched live from OpenAlex

Wireless capsule endoscopy (WCE) is the only option for non-invasive small intestine disease diagnostics. However, the small size of the capsules poses a major design challenge for engineers since multiple optical and electrical components must reside inside the capsules. This article proposes a space-saving dual-purpose component utilized in both optical image capturing and microwave wireless data transmission of a WCE capsule at the 915 MHz industrial-scientific-medical band. The optical performance is verified through ray-tracing simulations, whereas the microwave operation is demonstrated by full-wave impedance simulations and by conducting a radio link simulation and measurement with an up-scaled prototype. The results show that the proposed component can be utilized in capsule optics to achieve an acceptable imaging quality. Furthermore, the component operates as an antenna, providing adequate link gains for WCE wireless communications.

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)0.001
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueIEEE Transactions on Biomedical EngineeringSame topicGastrointestinal Bleeding Diagnosis and TreatmentFrench-language works237,207