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Record W182511779

Flexible conductive polymer electrodes for applications in tissue Electrical Impedance Scanning (EIS)

2012· dissertation· en· W182511779 on OpenAlexfundno aff
Daehan Chung

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceElectrical conductorElectrodeElectrical impedanceConductive polymerPolymerElectrical engineeringComposite materialEngineeringChemistry
DOInot available

Abstract

fetched live from OpenAlex

Electrical Impedance Scanning (EIS) is a potential alternative for breast cancer screening, and has been investigated as a breast cancer screening tool since the 1920s.However, it has not become a regular diagnostic tool due to limitations such as low spatial resolution, poor electrode design, and mechanical skin contact issues.In this thesis, we attempt to address these limitations through development and demonstration of a novel flexible conductive nanoparticle composite polymer (C-NCP) electrode array.The array is fabricated using a new multi-level soft lithography.The array is highly flexible, resulting in improved skin contact and easy conformability to curved surfaces.Flexible Ag/AgCl electrodes (average resistivity of 1.7510 -3 +/-14.3%ohm-m) and Ag/graphene electrodes (average resistivity of 4.4510 -4 +/-18.7%ohm-m) are fabricated and tested on a tissue phantom and animal flesh.The results are presented in Cole-Cole plot format for easy comparison between regular tissue and tissue with introduced anomalies.

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)0.000
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: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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
GenreMethods

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

Citations3
Published2012
Admission routes1
Has abstractyes

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