Use of dual chest leads for deriving complete 12-lead/18-lead electrocardiograms and vectorcardiograms in infants
Bibliographic record
Abstract
We developed infant-specific transformations of ECG leads and compared their performance with that achieved by transformations derived for adults. In particular, we studied the ability of 15 reduced lead sets consisting of Mason-Likar (M-L) limb leads and 2 precordial leads to predict the complete set of M-L 12 leads, plus right-sided, posterior, and orthogonal leads. The study population consisted of 82 infants aged 6 to 365 days, for whom 120-lead ECG data were available. Lead transformations were derived by regression analysis and the ability of reduced lead sets to predict desired leads was assessed by 3 measures of fit. The results show that, with infant-specific transformations, 12 pairs of precordial leads have almost the same predictive ability. In comparison of adult vs. infant transformations the former fared well for the right-sided, precordial, and orthogonal leads, but failed for the posterior leads; the latter performed well for all the leads and thus they are preferable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".