Preliminary Assessment of a Novel 14-Day Electrocardiographic Adhesive Patch Monitor in Dogs
Bibliographic record
Abstract
Cardiac arrhythmias often are transient and might not be detected using conventional electrocardiographic (ECG) techniques. The adhesive patch monitor (APM) is a single-lead, lightweight, up to 14-day continuous ambulatory ECG monitor. This study aimed to prospectively assess its usability in four boxer dogs considered either to be healthy or to have arrhythmogenic right ventricular cardiomyopathy. Optimal recording was obtained by placing the APM on the left side of the animal's thorax, at the fifth intercostal space, slightly dorsal to the costochondral junction, and oriented either vertically or parallel to the long axis of the heart. In three dogs, the APM remained attached for 14 days. One dog removed the APM after 59 hr. Skin irritation was documented in all dogs and resolved spontaneously after removal of the APM. The analyzable time was >93% of the total wear time and recordings provided an unambiguous rhythm diagnosis at rest. Walking, running, or playing caused intermittent motion artifact that could impair ECG interpretation. APM results were comparable to those obtained with 24-hr Holter monitoring. Extended continuous ECG monitoring with the APM is feasible in boxer dogs and provides interpretable recordings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 source (direct Gemma or distilled Codex), 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".