A portable dry-electrode ECG device for rapid and accurate neonatal heart rate monitoring during resuscitation
Bibliographic record
Abstract
Each year, around 10% of infants globally will require resuscitation at birth. Pediatricians can use stethoscope, electrocardiogram (ECG) or pulse oximetry to determine heart rate (HR) which is used to guide resuscitation steps. HR must be acquired accurately and quickly. However, current HR detection modalities are either inaccurate or too slow. This work offers a novel infant heart rate detector (iHRD) using single-lead dry electrode ECG that can display HR accurately within the first 10 seconds of initial contact. A research ethics board approved validation study is conducted on 50 healthy newborns comparing iHRD's HR with clinical HR monitors at a community hospital. 3-minute newborn single-lead ECGs and HR are recorded, and HR is annotated every 2 seconds. Statistical HR analysis is performed to ensure iHRD's feasibility and reliability. With 2741 HR datapoints, excluding outliers, the iHRD detected HR with 94.5% accuracy with time from contact to HR display under 10 seconds. Overall, the iHRD using dry electrode single-lead ECG showed good results in providing reliable HR quickly for neonatal resuscitation efforts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".