Assessment for occupational hazards to cardiac implantable electronic devices due to electric field exposure at power frequency within the framework of European standards
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
Workers with cardiovascular implantable electronic devices (CIEDs) may face interference hazards from electromagnetic fields emitted by industrial electrical apparatus, which may compromise device functionality and safety, leading to significant occupational risks. A risk assessment approach was proposed for the non-clinical investigation in the process of specific assessing within the framework of the European standards EN 50527. An exposure system, the voltage injection system (VIS), was introduced to experimentally investigate the interference thresholds and the induced voltages of CIEDs exposed to electric fields (EFs) at power frequency (50 Hz) by in vitro testing. A thorough risk assessment was performed on four CIEDs in two exposure scenarios, as an application illustration of VIS assessment. Correspondence between in vitro testing and real-case exposure was founded based on the study of induced voltages under EF exposures to establish VIS assessment. In the risk assessment for CIEDs, severe interference was observed in some cases with maximum sensitivity and in ICDs with nominal sensitivity at the high Action Level specified in the Directive 2013/35/EU (20 kV/m). The VIS assessment proposed in this work provides an efficient, easy-to-setup, on-site solution to evaluate the EF exposures at power frequency of workers with CIEDs in the workplace. The findings highlight the importance of conducting risk assessment for specific cases.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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