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Record W2028527352 · doi:10.1109/biocas.2014.6981745

A fully integrated telemonitoring system for diagnosing in-stent restenosis

2014· article· en· W2028527352 on OpenAlex
Kamyar Keikhosravy, Pouya Kamalinejad, Leila Keikhosravy, Arash Zargaran-Yazd, Kenichi Takahata, Shahriar Mirabbasi

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 Power Transfer Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRestenosisTransmitterVoltageStentCMOSSensitivity (control systems)Pressure sensorComputer scienceWirelessElectrical engineeringElectronic engineeringEngineeringTelecommunicationsMedicineChannel (broadcasting)Radiology

Abstract

fetched live from OpenAlex

This paper presents a fully integrated monitoring system for diagnosing restenosis in coronary-artery stents. Power is transferred wirelessly to the 0.13-μm CMOS monitoring circuit that is embedded on the stent and reads and transmits the sensory data from the pressure sensors which are also embedded on the stent. An auxiliary circuit is introduced to facilitate the alignment of the external reader with the stent. The alignment circuit starts operating from a rectified supply of 500 mV drawing 8.3 μA from the harvested supply voltage. The main transmitter which sends the sensory data operates from a rectified supply voltage of 880 mV while drawing ≈178 μA. The monitoring system provides a sensitivity of 555 kHz/fF. In-vitro measurement results confirm the performance of the system.

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 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: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.784

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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