Highly Isolated Multiple-Input Multiple-Output Antenna System for Ingestible Implants
Bibliographic record
Abstract
In this paper, a dual-antenna multiple-input multiple-output (MIMO) system is designed for deep-tissue indigestible capsules. The system operates at 915 MHz and 2450 MHz frequency bands, covering the desired ISM band. The 10-dB bandwidths are 210 MHz (840–1050 MHz) and 220 MHz (2350–2570 MHz). The antenna’s overall volume is 12.34 mm3, with a radius of 5.5 mm and a height of 0.13 mm. Compactness is achieved through the use of a high permittivity substrate, shorting pins, and multiple slots in the patch. A common ground plane with a rectangular slot in the middle is incorporated to reduce electromagnetic (EM) coupling between the antenna elements. Additionally, two inductors are placed between the antenna patches to further minimize the EM coupling. Inductor-I (8.5 nH) combined with a slot capacitance generates a transmission zero (TZ) at the lower frequency band, while Inductor-II (1 nH) combined with a slot capacitance generates a TZ at the higher frequency band. This design results in very low coupling values of$-$34.6 dB at 915 MHz and$-$38.92 dB at 2450 MHz. The antenna achieves peak realized gains of$-$31.5 dBi at 915 MHz and$-$22.3 dBi at 2450 MHz. With 1 W incident power, SAR values of 43.1 W/kg at 915 MHz and 46.3 W/kg at 2450 MHz are observed. The envelope correlation coefficient is less than 0.1 in both bands, making this antenna suitable for high-speed communication in ingestible implants.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".