1019Equi-Spaced Electrode Array for Orientation Independent Bipolar Substrate Mapping
Bibliographic record
Abstract
Background: One of the main limitations of bipolar EGMs (BiEGM) substrate maps is that they are highly subject to direction of the activating wave front to the mapping bipole. An equi-spaced electrode array when coupled with omnipolar EGM methodology (OTEGM) could determine direction of wave front and provide a physiologically realistic substrate map. We have demonstrated that OTEGM voltage map provides the largest possible bipole in experimental ex-vivo epicardial models. Here we hypothesised that a novel preclinical catheter deployed in in-vivo EP studies of infarcted pigs would provide the largest detectable voltage and better circumscribe low voltage areas. Methods: The LV endocardium of 5 swine (2 healthy, 3 post anterior wall myocardial infarction, 4 weeks after MI) was mapped in-vivo using the HD16 grid (Panel A) (1mm electrodes, 4mm spacing) via retrograde transaortic approach with EnSite Precision™ in sinus rhythm (n=5). BiEGM substrate maps were compared to OTEGM maps. The 95th percentile of voltage peak-to-peak (Vpp) was used as a threshold for low voltage. A cardiac MRI was used for scar delineation with late gadolinium enhancement (LGE). Results: There were no complications related to the deployment of the HD16 grid both to animal and to the integrity of the array. OTEGM provided larger mean Vpp values compared to BiEGM (Panel B) for all animals (3.5 mV ± 3.1 mV vs 2.5 mV ± 2.5 mV, p < 0.001), leading to more circumscribed low voltage areas (20% ± 16% vs 38.5% ± 15% of total mapped values < 1.5 mV for three MI pigs) (Panel C), indicating that OTEGM is able to detect Vpp that is the largest in the area being explored and differentiate better healthy myocardium from scar and correlating with areas without LGE on MRI. Conclusions: An equi-spaced electrode array when combined with OTEGM yielded the largest detectable voltage and smaller areas of low voltages compared to BiEGM maps in swine post-MI. OTEGM substrate map that are void of direction influences is one solution to the direction-dependency of BiEGM. Abstract 1019 Figure. Omnipolar EGM vs Bipolar EGM
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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) | 0.000 | 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 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".