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Record W4200205045 · doi:10.1002/9781119536475.ch6

The ECG Recording

2021· other· en· W4200205045 on OpenAlexaff
Antoni Bayés de Luna, Miquel Fiol, Antoni Bayés‐Genís, Adrián Baranchuk, Roberto Elosúa, Manuel Martínez‐Sellés

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicECG Monitoring and Analysis
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsQRS complexPlane (geometry)Horizontal planeCoronal planeProcess (computing)Computer scienceCardiologyMathematicsGeodesyGeologyMedicineGeometryAnatomy

Abstract

fetched live from OpenAlex

The ECG waves are recorded in different forms according to the location of the explorer electrode. The morphology of the ECG is determined by the location at which the lead is recorded. ECG devices record the electrical activity of the heart through both frontal and horizontal plane leads. There are six frontal plane leads and six horizontal plane leads (V1–V6). This chapter explains some aspects of the ECG–VCG correlation using Burger's triangle. There is an increased interest in revising the standard presentation of the frontal plane ECG leads by changing the lead aVR location. Vectorcardiographic loops originate in the frontal or horizontal plane leads with different ECG morphologies, with QRS complexes more or less wide, and with positive, negative, or diphasic deflections in accordance with their projections in the respective positive and negative hemifield. The chapter focuses on the recording process and the technical errors that may occur during this process.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0500.056

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 head0.019
GPT teacher head0.302
Teacher spread0.283 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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