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Record W2166301497 · doi:10.1109/iembs.2005.1616830

An Implantable Multifunctional Needle Type Biosensor with Integrated RF Capability

2005· article· en· W2166301497 on OpenAlexfundno aff
Nan‐Fu Chiu, Jmin-Min Wang, Lung‐Jieh Yang, Chengwei Liao, Chun‐Hao Chen, Hsiao‐Chin Chen, Shey‐Shi Lu, Chii‐Wann Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsnot available
FundersMinistry of Economic AffairsHeart and Stroke Foundation of Canada
KeywordsBiosensorCMOSMaterials scienceParyleneFabricationGlucose oxidaseNanotechnologyMicroelectromechanical systemsTransmitterElectrical engineeringOptoelectronicsPolymerEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

We report the development of an implantable multifunctional (glucose and cholesterol) needle type biosensor with integrated RF wireless circuitry for continuous in vivo monitoring of metabolites during short term stays in emergency room or intensive care unit. Silicon-based MEMS technologies are used for the fabrication of micro needle sensors. The whole device is covered by a biocompatible Parylene layer with opening structure at the active areas of electrodes. Electropolymerization of active biomolecules and conducting polymer provides in situ nanoscale physical entrapments of various oxidoreductases (Glucose oxidase and cholesterol oxidase) and functions as a viable matrix for the construction of micro amperometric biosensors. Hybrid CMOS fabrication processes are used to accomplish the 433 MHz ASK RF transmitter and receiver (0.18μm CMOS 1P6M process) and the data converter (0.35μm CMOS 2P4M process). We will present and discuss the detail design and the integrated system performance in this paper.

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 categoriesInsufficient payload (model declined to judge)
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 score0.263
Threshold uncertainty score0.999

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)0.0020.000

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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.

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

Citations7
Published2005
Admission routes1
Has abstractyes

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