P1504Resistance of the medtronic micra leadless pacemaker to 60 hz electrical fields
Bibliographic record
Abstract
Funding Acknowledgements: Fees/Honoraria/Salary; Company/Organization; Hydro-Québec, Electric Power Research Institute Purpose: Pacemaker technology is constantly evolving. Although transvenous pacemakers have long been the standard of care, they have significant drawbacks. Thus, leadless intracardiac transcatheter pacing systems have been designed to avoid the need for pacemaker pockets and transvenous leads, and hence carry the potential to reduce associated complications. However, the risk of electromagnetic interference has not been ascertained for these devices when exposed to high electric fields, nor compared to ICNIRP’s international recommendation for general public exposure (4.2 kV/m). The goal of this study was to expose the Micra leadless pacemaker to electric field levels up to 20kV/m, to determine the electric field threshold for interference. Such high electric field levels can be encountered in industrial settings (power utility substations) and in the right of way of high voltage (735 kV) power lines (theoretically up to about 8,5kV/m at midspan). Methods: The Micra leadless pacemaker, manufactured by Medtronic, was tested in vitro, in a high voltage testing laboratory. The device was mounted in a saline tank at human torso height, and incrementally exposed to electric fields up to 20 kV/m. The device was set up in three different positions : upright, horizontal and 45°. Two devices were tested. Results: When programmed to nominal parameters (2.8mV), and to higher sensitivities (2 mV and 0.45 mV) both Micra leadless pacemakers tested were immune to interference up to a level of 20kV/m, no matter the orientation chosen. Conclusions: These results are reassuring since, in the laboratory, the Micra device is immune to interference up to high electric field exposures, no matter the programmed sensitivity. As with any implantable cardiac device, there remains a need for individualized decision making for the safety of employees with a leadless pacemaker if their work environment exposes them to electric fields. For the general safety of the public, no significant concern should arise in individuals with Micra leadless pacemaker programmed to nominal settings or to higher sensitivity levels.
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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 | 0.000 | 0.001 |
| 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) | 0.004 | 0.001 |
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".