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Record W2592083943 · doi:10.1109/memsys.2017.7863358

A pressure-sensing smart stent compatible with angioplasty procedure and its in vivo testing

2017· article· en· W2592083943 on OpenAlexaff
Xing Chen, Babak Assadsangabi, Daniel Brox, York Hsiang, Kenichi Takahata

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBalloonStentBiomedical engineeringAngioplastyWirelessMaterials sciencePressure sensorComputer scienceMedicineSurgeryRadiologyEngineeringMechanical engineeringTelecommunications

Abstract

fetched live from OpenAlex

This study advances the technology for “smart” antenna stents integrated with micro pressure sensors, targeting at providing a non-invasive and rapid diagnosis of stenting-induced complications in a wireless manner. The smart stent device is developed via considering both engineering and clinical practicality with enhanced electromechanical performance over reported counterparts. The fabricated prototypes are assembled on balloon catheters while withstanding crimping forces well greater than 100 N, and show wireless local pressure sensing with a resolution of 12.4 mmHg upon balloon expansion. Using a swine model, the device is successfully operated to demonstrate wireless detection of blood clot formation, as well as real-time tracking of blood pressure change over a mean arterial pressure of 108 mmHg.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.233

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 head0.041
GPT teacher head0.288
Teacher spread0.247 · 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 designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

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