Design of a 5-Gauss line system to warn persons with medical implants from critical EM field
Bibliographic record
Abstract
In some medical magnetic resonant imaging environment with a high magnetic field, there is no protection system that detects the 5-Gauss line. This region presents a serious risk zone for both the patient and the implanted device. Frequently, patients having an active medical implant like a pacemaker can cross these areas without taking into consideration that there is a harmful magnetic field. Consequently, health complications may occur. In order to overcome these issues and prevent people with pacemakers from crossing this space, we have proposed a 5-Gauss magnetic field measuring device. It detects and measures the value of the magnetic field present accompanied by an audible signal of the critical line. In our case it is equal to or greater than 5-Gauss (0.5mT). The system measures the magnetic field detected by the Hall effect SS495A sensor that is controlled by an Arduino Uno card. We performed a validation of the 5-Gauss line detection system in the medical magnetic resonant imaging environment of the military hospital of Tunis. The obtained results are very satisfactory, since the system ensures the required function.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".