Design of a miniaturized UWB antenna optimized for implantable neural recording systems
Bibliographic record
Abstract
Ultra-wideband (UWB) short-range communication systems are valuable in medical technology, particularly for implanted devices, due to their low-power consumption, low cost, and high data rates. Several emerging medical applications require that a miniature data acquisition device be implanted in the head to extract and wirelessly communicate brain activity to other devices. In such applications the antennas, a key component in a wireless implanted device, require extreme biocompatibility and limited size. This paper presents the design of a miniaturized UWB monopole microstrip antenna that is electrically suitable for implantation in the human head. The antenna is fed by a microstrip line on an FR4 substrate, has a size limited to 12mm×12mm, and is optimized against the effects of biological tissues. Optimization is performed numerically with HFSS. The return loss, radiation pattern and specific absorption rate (SAR) performance of the antenna are simulated and compared for three antenna sizes. Based on these results, a suitable UWB antenna is proposed for operation in an implanted neural recording device.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".