Breakthrough Wave Detection in a 3D Computer Model of Atrial Endo-Epicardial Dissociation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Experimental and clinical mapping of atrial fibrillation has revealed the occurrence of breakthrough activation patterns. These focal waves have been associated with endo-epicardial (endo-epi) dissociation and three-dimensional anatomical structures. To assess breakthrough detection techniques in computer models of atrial fibrillation, we created a 3D cubic-mesh atrial model with locally controllable endo-epi dissociation. In this model, epi and endo layers were electrically coupled only at randomly-distributed discrete connection sites. Eighteen endo-epi connection patterns were generated. Dedicated finite-difference numerical methods were developed to handle these discontinuities in conduction. These configurations were designed to generate breakthroughs at predictable locations. We developed a breakthrough detection algorithm based on full-resolution activation maps of both the epi-and endocardial surfaces. Wave tracking was used to calculate the lifespan of breakthroughs. Nonpropagating passive responses and breakthroughs with too short lifespan were eliminated. The approach was manually and automatically validated in 48 episodes of fibrillation in models with varying number of endo-epi connections.
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.
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 it