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Record W6995937239

Printed Tattoo Electrodes for Electrophysiological Signal Acquisition

2023· other· en· W6995937239 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrodeFabricationSIGNAL (programming language)ExtrusionSubstrate (aquarium)Medical device
DOInot available

Abstract

fetched live from OpenAlex

The enhancement of medical tattoo electrodes over the past few decades have enabled them to serve as an alternative to conventional Ag/AgCl electrodes. Additive manufacturing methods can enable efficient and flexible fabrication of the tattoo electrodes, in contrast to the traditional fabrication methods demonstrated thus far. The objective of this project is to optimize printing methods to fabricate medical tattoo electrodes, as well as analyze and compare their performance both in vitro and in vivo to Ag/AgCl electrodes. Inkjet and extrusion printing methods were optimized to print various electrode patterns on a tattoo paper substrate and a simple contact platform was developed to allow for external connections to rigid components. Initial testing and analysis of the electrical and mechanical performance of the electrodes outside the human body was subsequently performed. The electrodes were ultimately tested on human subjects to acquire ECG and EMG signals, which were analyzed in terms of signal quality.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.175
Teacher spread0.163 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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