A Compact Implantable Antenna for Biotelemetry Applications in Arteriovenous Grafts
Bibliographic record
Abstract
The increasing demand for real-time health monitoring has driven significant advancements in wireless implantable medical devices, particularly for organ-specific applications such as kidney diagnostics. These systems use implantable antennas to establish biotelemetry communication between the internal device and external monitoring units. However, designing antennas suitable for implantation has several challenges, especially in complex anatomical regions like the abdomen. High signal attenuation, size limitations, restricted gain, and adherence to safety regulations are among the constraints. This work mainly presents the design and characterization of a compact, low-profile, high-gain implantable antenna optimized for kidney applications operating in the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.4-2.5 \text{GHz}$</tex> ISM band. Initially, the antenna was designed with a coaxial feed placed at its center. Four lshaped slots are etched to obtain the resonant frequency. Two shorting pins are employed to improve the impedance matching. Four circular slots are used on the ground to further enhance the gain of the antenna. The antenna is simulated in a human tissue phantom model representing realistic abdominal conditions. The measured fractional impedance bandwidth of 31.42 %, simulated gain of -24 dBi, and acceptable SAR have been obtained. The antenna has compact, low profile and is suitable for wireless biotelemetry in arteriovenous grafts.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".