ECG recording sites for improving signal-to-noise ratio during atrial depolarisation
Why this work is in the frame
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Bibliographic record
Abstract
The objective of this study was to identify optimal recording sites for a bipolar ECG lead that would improve signal-to-noise ratio during atrial depolarisation. Body surface potential map (BSPM) data, recorded using the Dalhousie 120-lead system and transformed into 352-node BSPMs, were used for the study. The absolute median for every sample of a subject's p-wave was calculated across all 352-nodes to determine the point in time where the greatest p-wave amplitude occurred. Normalised p-wave values at this point in time were then extracted across all 352-nodes for each subject. The median of the potentials on each node across all 45 subjects was then calculated to establish a median BSPM from which an optimal ECG lead could be identified. The p-wave amplitudes recorded in this population based optimal ECG lead achieved a median of 83.53% of each subject's attainable maximum attainable p-wave amplitude. In comparison standard Lead II achieved a median of 71.53%.
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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 | 0.001 | 0.001 |
| 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 it