A New Wireless Power-Transfer Circuit for Retinal Prosthesis
Bibliographic record
Abstract
This paper presents a novel resonant power converter for transcutaneous power transmission in retinal prosthesis applications. In retinal prosthetic applications, the frequency and power of the transmitted signal must be limited to a specific range such that the living tissue is not harmed. The design goal is to transmit power with maximum efficiency, and minimum sensitivity to the nonideal power transfer link. The proposed wireless power-transfer circuit offers significant advantages over conventional ones, which usually use Class E converters. The proposed approach has very low sensitivity to coupling factor/load variations in the inductive link and demonstrates very fast dynamic response. In addition, the proposed approach does not require a dc-dc converter to control the output power. Soft switching is achieved for the proposed circuitry despite the variations in the coupling coefficient. Thus, superior efficiency can be obtained using the proposed approach. Theoretical analysis and various simulations validate the superior performance of the proposed approach. In addition, a 1-MHz experimental prototype has been prepared to verify the feasibility of the proposed wireless power-transfer circuit.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".