Wireless monitoring of collagen progression around implantable prostheses
Bibliographic record
Abstract
Bıocompatıbılıty remains a critical issue due to the foreign body response following device implantation. “Collagen” is the main bio-material composed around the implanted devices. This paper reports the possibility to measure the thickness of the “Collagen layers” using impedance measurement. An implanted passive circuit sensitive to the collagen thickness is wirelessly connected to the external reading circuit through inductive coupling. The resonance frequency of the system is directly proportional to the Collagen layer thickness variation. A modeling and simulation study of the Collagen material is presented by “COMSOL” to verify the functionality and obtain the optimal design parameters. Reported results demonstrate the increment of collagen capacitance from 30fF to 120fF when the collagen thickness rises from 1mm to 6mm. The experimental validation is reported using Impedance Analyzer. The measured resonance frequency drops from 55.78MHz to 54.98MHz when the collagen thickness increases from 0 to 10mm.
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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 | 0.000 |
| 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) | 0.001 | 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 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".