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Record W1978664090 · doi:10.1109/memea.2013.6549758

An ECG monitoring system using conductive fabric

2013· article· en· W1978664090 on OpenAlex

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
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsElectrodeElectrical conductorMaterials scienceBiomedical engineeringSIGNAL (programming language)Computer scienceAcousticsComposite materialEngineeringChemistry

Abstract

fetched live from OpenAlex

In this work we evaluated the quality of the ECG signals obtained from conductive fabric dry electrodes. The purpose of this work was to evaluate if lead I ECG collected with dry conductive fabric electrodes is suitable for applications where no special preparation of electrodes specific for ECG monitoring is allowed. An example of such application is ECG-assisted blood pressure (BP) monitoring device where the user of the BP device should only follow standard procedures of BP measurements. In this paper, we present a system that we developed for the acquisition of ECG signals and their transfer to the PC, and we evaluate the quality of the ECG signals from different electrodes placed at biceps and wrist or touched by fingers. In our experiments we compared signals obtained using gel Ag/AgCl, dry contact electrodes made of golden plates and conductive fabric-based electrodes. Conductive fabric-based electrodes are capable of collecting ECG with accuracy comparable to the accuracy of the signal collected by gel electrodes.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.826

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 communication0.0000.001
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 head0.022
GPT teacher head0.236
Teacher spread0.213 · 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

Citations30
Published2013
Admission routes1
Has abstractyes

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