ISM‐band 902‐ to 928‐MHz FSK transceiver with scalable performance for medical devices
Bibliographic record
Abstract
Summary A 902‐ to 928‐MHz industrial, scientific, and medical band transceiver using a wake‐up link for wireless body area networks wearable and implantable medical devices is presented. The design reaches exceptionally low‐power dissipation and provides an adapted data‐rate by gathering the advantages of frequency‐shift‐keying (FSK) and amplitude‐shift‐keying (ASK) modulation techniques. Transmitter (Tx) includes a new efficient FSK modulation scheme to generate up to 20 Mb/s of data‐rate and consumes around 0.084 nJ/b. The integrated receiver (Rx) is based on a new FSK‐to‐ASK conversion technique using on‐off keying fully passive wake‐up circuit (WuRx) with energy harvesting from radio frequency link. The adopted scheme leads to the scalability of energy consumption versus data‐rate at constant transceiver sensitivity, insuring high‐performances requirements. The transceiver is implemented in IBM 0.13‐μm CMOS process. The WuRx achieves a sensitivity of −53 dBm while the main receiver shows −78‐dBm sensitivity. Thanks to the simplified hardware, the receiver consumes only 640 μW while the transmitter uses 1.4 mW from 1.2‐V supply voltage.
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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) | 0.004 | 0.002 |
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".